Publication

Role profiles and career pathways in analysis

Updated 22 December 2021

Use the contents panel to navigate through the role profiles and career paths within the Analysis Function and find out more about:

• the role summary
• typical role responsibilities
• core skills
• sample career pathways

These are general principles found cross-government for each role profile and they can be tailored to suit the needs of each department or profession.

Please share any feedback on the following role profiles with the Analysis Function Team directly at Analysis.Function@ons.gov.uk

Data Analyst role profile

Role summary

Data Analysts collect, organise and study data to provide business insight. Working across a broad range of areas, Data Analysts understand, manipulate, and accurately analyse data, providing insight, briefing internal and external audiences in ways that make the complex easy to understand, particularly for non-specialist audiences.

Typical role responsibilities

• Managing, cleaning, abstracting and aggregating data alongside a range of analytical studies on that data.
• Identifying, collecting, and migrating data to/from a range of systems.
• Manipulating and linking different data sets as required.
• Assisting with data quality checking and cleaning.
• Applying tools and techniques for data analysis and data visualisation (including use of Business Information (BI) tools). Presents data and conclusions logically and concisely in the most appropriate format and in adherence to overarching Analysis Function standards.
• Summarising and presenting the results of data analysis to a range of customers, making recommendations.
• Interpreting and applying relevant data information security standards, policies, and procedures to data.
• Performing routine statistical analysis and ad-hoc queries which may include the production of reports.
• Using a range of analytical techniques such as data mining, time series, forecasting and modelling techniques to identify and predict trends in data.
• Working with data architecture.
• Utilising coding and programming skills for data and analytics

Core skills

Analytical and problem-solving skills – The ability to apply analytical techniques to present a solution. Identifying efficient and effective ways to use data analysis to tackle business and organisational challenges, applying innovative techniques to make data driven decisions.

Software tools and techniques – Proficient in Microsoft Office and the ability to learn new systems and ways of working.

Programming and Reproducibility – The ability to use coding and programming skills for data and analytics.

Mathematical skills – Numerical skills demonstrated through relevant qualifications or work experience.

Data Management – Ability to collate and manage datasets. Understanding data sources, data organisation, and storage whilst considering legal and ethical issues around data including rights, liability, privacy, and access.

Ethics and Privacy – Understands the ethical considerations of potential data analysis approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc. Awareness of existing Government and other frameworks.

Quality Assurance & Validation – Awareness of quality assurance techniques. Identifying the right data sources, validating, and understanding how to interpret the results. Ensure data is fit for purpose.

Data Visualisation – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Data cleansing and data enrichment techniques – Knowledge of data cleansing and standardisation.

Data Analysis – Ability to make use of different sources of information and conduct analysis of key data sets. Use analytical skills and software to derive robust results and recommendations from data to support decision making across varied audiences. Knowledge of relevant data analysis packages, curious and inquisitive of new methodologies.

Statistical Methods and Scientific Practices – Ability to apply a range of scientific methods through experimental design, exploratory data analysis, and hypothesis testing to reach robust conclusions. Confidence in using analytical approaches and interpreting data. Broad statistical awareness, along with the ability to develop deep expertise in specialised areas of statistical methodology and its application where required.

Communicate Insight – Good understanding of the context of your work and the strengths and weaknesses of analysis. Able to communicate clearly and concisely and explain analytical evidence to varied audiences.

Project Management – Supporting the delivery of analytical projects by delivering quality outcomes to deadline, identifying risks and mitigating actions. Ensuring that business solutions are aligned with strategy, business goals, and end user needs.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Analysis Function Standard

Data Analyst Career Pathway

Listed against each core skill are the expected skill levels required at that grade. The grades associated with each role title are indicative and may vary in your department or area.

Associate data analyst

Indicative grade - Level 1 AA or AO in the Civil Service behaviours - PDF version

Awareness level

• Analytical and problem-solving skills
• Software tools and techniques
• Programming and Reproducibility
• Mathematical skills
• Data Management
• Ethics and Privacy
• Quality Assurance & Validation
• Data Visualisation
• Data cleansing and data enrichment techniques
• Data Analysis
• Statistical Methods and Scientific Practices
• Communicate Insight
• Project Management

Data Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Awareness level

• Project Management

Working level

• Analytical and problem-solving skills
• Software tools and techniques
• Programming and Reproducibility
• Mathematical skills
• Data Management
• Ethics and Privacy
• Quality Assurance & Validation
• Data Visualisation
• Data cleansing and data enrichment techniques
• Data Analysis
• Statistical Methods and Scientific Practices
• Communicate Insight

Senior Data Analyst

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner level

• Analytical and problem-solving skills
• Software tools and techniques
• Programming and Reproducibility
• Mathematical skills
• Data Management
• Data cleansing and data enrichment techniques
• Data Analysis
• Statistical Methods and Scientific Practices
• Communicate Insight
• Project Management

Expert level

• Ethics and Privacy
• Quality Assurance & Validation
• Data Visualisation

Principal Data Analyst

Indicative grade - Level 4 G7 or G6 in the Civil Service behaviours - PDF version

Practitioner level

• Mathematical skills
• Statistical Methods and Scientific Practices

Expert level

• Analytical and problem-solving skills
• Software tools and techniques
• Programming and Reproducibility
• Data Management
• Ethics and Privacy
• Quality Assurance & Validation
• Data Visualisation
• Data cleansing and data enrichment techniques
• Data Analysis
• Communicate Insight
• Project Management

For career progression beyond Principal Data Analyst (G6) please refer to the Analysis Function SCS Capability Framework.

Data Analyst sample career path

The Data Analyst career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels required.

Entry and exit points can include roles from other analytical and digital professions, or non-analytical and non-digital professions.

Entry and exit points:

The main career pathway for Data Analysts is usually advancing through the grade levels listed below (Associate Data Analyst to Senior Leadership level).

The Data Analyst career pathway is recognised as a multidisciplinary analytical role across government, and there is no formal accreditation of badging status associated to the entry points of this career pathway as it is not currently associated with one of the seven analytical professions. However, entry and exit routes do exist for technical specialist roles (this could be a badged analytical or professional role - subject to entry requirements and development for that specific analytical profession). There are also entry and exit routes from profession agnostic roles, such as within the policy or operational professions.

This career pathway aims to provide a general overview of the entry and exit points for typical Data Analyst roles across government. Your department should be able to provide more detailed information around the entry and exit levels for Data Analysts in your specific area.

A Data Analyst Level 4 Apprenticeship is also available.

• Associate Data Analyst - developing baseline analytical skills from work experience or qualifications
• Data Analyst
• Senior Data Analyst
• Principal or Lead Data Analyst
• Senior Leadership roles - broader analytical understanding, leading multi-disciplinary teams, showcasing strong leadership skills

Data Analyst skill level definitions

Awareness level

Analytical and problem-solving skills – You know about the need for careful analysis of research data to produce clear findings. You can identify problems in databases, data processes, data products and services, with an understanding of the level of a problem (for example, strategic, tactical, operational). You can contribute to the implementation of remedies and preventative measures.

Software tools and techniques – You have a basic awareness of Microsoft Office and other software tools, and how to apply them in your environment.

Programming and Reproducibility – You have a basic knowledge of coding and programming for data and analytics and appreciate how they are applied in the environment.

Mathematical skills – You have basic numerical skills which can be demonstrated in your environment.

Data Management – You know about organisational data governance and how it works in relation to other organisational governance structures.

Ethics and Privacy – You have a basic understanding of the ethical considerations in relation to data analysis approaches. You are aware of the legislation and Government frameworks applicable in this area.

Quality Assurance & Validation – You understand basic data issues and can check that the data and analysis look right. You understand the concept of data being fit for purpose. You understand the context of the data. You know about the right questions to ask, and you are curious and apply an analytical mindset when approaching a problem. You can perform data preparation and cleansing with guidance.

Data Visualisation – You can work under direction to use the most appropriate medium to visualise data to tell an actionable story relevant for the fully defined goals. You can present, communicate, and disseminate analysis and recommendations appropriately under direction.

Data cleansing and data enrichment techniques – You know about different data models and tools and understand when they could be used. Aware of industry recognised data modelling patterns and standards.

Data Analysis – You understand the theoretical basis for applied practices. You are beginning to be able to apply the theory to practical examples

Statistical Methods and Scientific Practices – You understand the theoretical basis for applied practices. You are beginning to be able to apply the theory to practical examples.

Communicate Insight – You know about the need to translate technical concepts into non-technical language and understand what communication is required for internal and external stakeholders.

Project Management – You know about the project management techniques and have an appreciation of how it is applied in the environment.

Working level

Analytical and problem-solving skills – You understand how to apply basic techniques for analysis of research data and synthesis of findings. You know how to involve your team in analysis and synthesis. You can present clear findings that colleagues can understand and use. You know how to respond to problems in databases, data processes, data products and services as they occur. You can initiate actions, monitor services, and identify trends to resolve problems. You know how to determine the appropriate remedy and can help to implement it as well as preventative measures.

Software tools and techniques – You have a working knowledge of Microsoft Office and other software tools and know how to apply your knowledge and experience of these skills.

Programming and Reproducibility – You have a working knowledge of coding and programming for data and analytics and appreciate how they are applied in the environment.

Mathematical skills – You have good level of numeracy skills which can be demonstrated in your environment.

Data Management – You understand data governance and how it works in relation to other organisational governance structures. You can participate in or deliver the assurance of a service.

Ethics and Privacy – You have an understanding of the ethical considerations in relation to data analysis approaches. You are aware of the legislation and Government frameworks applicable in this area and how to follow it.

Quality Assurance & Validation – You can recognise and identify appropriate ways to collect, collate and prepare data. You can decide if data is accurate and fit for purpose. You know how to do your own data preparation and cleansing with limited guidance.

Data Visualisation – You know how to use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You can present, communicate, and disseminate data appropriately and with high impact.

Data cleansing and data enrichment techniques – You can produce data models and understand where to use different types of data models. You understand different tools and can compare different data models. You know how to reverse-engineer a data model from a live system. You understand industry-recognised data-modelling patterns and standards.

Data Analysis – You know how and when to practically apply existing best-practice solutions for Data Analysis.

Statistical Methods and Scientific Practices – You know how and when to practically apply existing best-practice solutions in Statistical Methods and Scientific Practices.

Communicate Insight – You can translate and communicate accurate information to technical and non-technical stakeholders. You know how to facilitate discussions within a multidisciplinary team, with potentially difficult dynamics. You can advocate for the team externally and manage differing perspectives.

Project Management – You know how to apply your knowledge and experience of project management methodologies, including tools and techniques. You know how to adopt those most appropriate for the environment.

Practitioner level

Analytical and problem-solving skills – You understand and can help teams apply a range of methods to analyse research data and synthesise findings. You know how to engage sceptical colleagues in analysis and synthesis. You can advise on the choice and application of techniques and can critique colleagues’ findings to assure best practice. You can ensure that the most appropriate actions are taken to resolve problems as they occur. You can coordinate teams to resolve problems and implement solutions and preventative measures.

Software tools and techniques – You have a good knowledge of Microsoft Office and other software tools in your area. You know how to share your knowledge and experience of these skills with others.

Programming and Reproducibility – You have a good knowledge of coding and programming for data and analytics and appreciate how they are applied in the environment.

Mathematical skills – You have very good level of numeracy skills which can be demonstrated in your environment. You know how to share your knowledge and experience of these skills with others.

Data Management – You understand data governance and how it works in relation to other organisational governance structures. You can participate in or deliver the assurance of a service.

Ethics and Privacy – You have a good understanding of the ethical considerations in relation to data analysis approaches. You are aware of the legislation and Government frameworks applicable in this area.

Quality Assurance & Validation – Quality assurance, validation and data linkage abilities. You can set up a system to get data ready for use and specify how data should be cleansed and prepared. You can bring data together from different sources and communicate the limitations of data. You know how to peer-review colleagues’ outputs to ensure quality.

Data Visualisation – You know how to use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You can present, communicate, and disseminate data appropriately and with high impact.

Data cleansing and data enrichment techniques – You can produce data models and understand where to use different types of data models. You understand different tools and can compare between different data models. You can reverse-engineer a data model from a live system. You understand industry-recognised data-modelling patterns and standards.

Data Analysis – You understand and can apply a range of Data Analysis practices. You can develop deeper expertise in a narrower range of specialisms. You can start to apply emerging theory to practical situations.

Statistical Methods and Scientific Practices – You understand and can apply a range of statistical methods and scientific practices. You can develop deeper expertise in a narrower range of specialisms. You can start to apply emerging theory to practical situations.

Communicate Insight – You know how to listen to the needs of the technical and business stakeholders and explain them to each other. You can manage stakeholders’ expectations. You are flexible and capable of proactive and reactive communication. You know how to facilitate difficult discussions within your team or with diverse senior stakeholders.

Project Management – You know how to share knowledge and experience of project management methodologies with others, including tools and techniques. You can define those most appropriate for the environment.

Expert level

Analytical and problem-solving skills – You can help an organisation adopt a wide range of analysis and synthesis techniques and continually assure, improve, and innovate their practices to generate clear and valuable findings. You can anticipate problems and know how to prevent them. You understand how problems fit into the larger picture. You can describe problems and help others to do the same. You can build problem-solving capabilities in others.

Software tools and techniques – You have knowledge and experience in the application of Microsoft Office and other software tools in your area. You are a recognised specialist and adviser in these skills, including user needs, generation of ideas, methods, tools and leading or guiding others in best practice use.

Programming and Reproducibility – You have knowledge and experience in the application of coding and programming for data and analytics. You are a recognised specialist and adviser in these skills, including user needs, generation of ideas, methods, tools and leading or guiding others in best practice use.

Mathematical skills – You have a strong level of numeracy skills which can be demonstrated in your environment.

Data Management – You understand data governance and how it works in relation to other organisational governance structures. You can participate in or deliver the assurance of a service.

Ethics and Privacy – You have a strong understanding and application of the ethical considerations in relation to data analysis approaches. You are able to consider and apply the legislation and Government frameworks applicable in this area. You are seen as a specialist and are able to advise others on how to apply these considerations and legislation in practice.

Quality Assurance & Validation – You have a deep understanding of relevant data sources, tools and systems. You can use appropriate approaches for verifying and validating data and analysis. You know how to influence senior stakeholders in data approaches. You can coach and mentor others.

Data Visualisation – You know how to use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You can present, communicate, and disseminate data appropriately and with high impact.

Data cleansing and data enrichment techniques – You can produce data models and understand where to use different types of data models. You understand different tools and can compare between different data models. You can reverse-engineer a data model from a live system. You understand industry-recognised data-modelling patterns and standards.

Data Analysis – You understand, teach, and supervise a wide range of Data Analysis practices, or may have deep expertise on a narrower range of specialisms. You can apply emerging theory to practical situations.

Statistical Methods and Scientific Practices – You understand, teach, and supervise a wide range of Statistical Methods and Scientific practices, or may have deep expertise on a narrower range of specialisms. You can apply emerging theory to practical situations.

Communicate Insight – You can mediate between people and mend relationships, communicating with stakeholders at all levels. You know how to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales. You can speak on behalf of or represent the community to large audiences inside and outside of government.

Project Management – You have knowledge and experience in the application of project management methodologies. You are a recognised specialist and adviser in project management, including user needs, generation of ideas, methods, tools and leading or guiding others in best-practice use.

Data Collator

Role Summary

Data Collators collect and collate information. Undertaking data cleaning, quality assuring forms of data from a variety of sources (primary, survey, admin, open). Sharing analysis and key findings, often working in data collection or multi-disciplinary teams.

Typical role responsibilities

• Collect and gather information from a wide range of sources and systems
• Collate information to ensure easy retrieval and access for analysts within their team
• Quality assure and clean data to ensure it is “analysis” ready
• Read, understand and interpret reports and information
• Highlight and distribute relevant information to team members to ensure they remain informed of the latest developments in their area of interest
• Conduct analysis of data using tools and systems as required

Main skills

Data collection – Understanding of data collection methods and their application.

Data collation – Able to assimilate information from a range of diverse sources.

Data cleansing – Knowledge of data cleansing and standardisation.

Data management – Understanding data sources, data organisation and storage.

Software tools and techniques – Utilising coding and programming skills for data and analytics.

Data analysis – Able to identify key issues from data/information received, presenting and sharing as relevant.

Communicate insight – Strong verbal and written communication skills. Skill level definitions)

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed at that grade level.

Associate data collator

Indicative grade - Level 1 AA or AO in the Civil Service behaviours - PDF version

Awareness level

• Data collection
• Data collation
• Data cleansing
• Data management
• Software tools and techniques
• Data analysis
• Communicate insight

Data collator

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Working

• Data management
• Software tools and techniques
• Communicate insight

Practitioner

• Data collection
• Data collation
• Data cleansing
• Data analysis

Lead data collator

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Practitioner

• Data collection
• Data collation
• Data cleansing
• Data management
• Software tools and techniques
• Data analysis

Expert

• Communicate insight

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical and digital professions or non-analytical or non-digital professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to leadership). However, profession agnostic and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Associate Data Collator - developing baseline analytical skills from work experience or qualifications
• Data Collator
• Senior Data Collator
• Lead Data Collator
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Data Scientist

Role Summary

A data scientist identifies complex business problems whilst leveraging data value. They work as part of a multi disciplinary team with data architects, data engineers, analysts and others.

Data scientists work in an open, transparent and collaborative manner, sharing good practice and seeking to continuously improve the quality of outputs.

Typical role responsibilities

• Work with policy and operations to understand where data science can add value
• Support strategic and operational decision making in order to create impact
• Source, access, manipulate and engineer data processes with data that typically have characteristics of volume, velocity and variety or all
• Build credible statistical models from the data and use the best coding practices to generate reproducible work
• May draw on other technical and analytical standards from across government and industry
• Adhere to the data science ethics framework
• Are open minded and demonstrate strong intellectual curiosity
• Have an interdisciplinary focus, using techniques and knowledge from across the scientific spectrum
• Explore and visualise the data to present the ‘story’ of data in a meaningful way and to a range of technical and non-technical audiences
• Use an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required
• Continuously seek to expand a range of technical skills in addition to their leadership and communications development
• Propagate data science skills in other teams, understanding the variety of functional roles relating to data science and how they can be most effectively applied to solve business problems

Recommended behaviours (to support development up to G7 or G6)

• Seeing the big picture
• Communicating and influencing
• Managing a quality service
• Making effective decisions
• Working together
• Delivering at pace
• Leadership

Main skills

Some skills are marked as core to all data scientist roles. Other skills and levels are discretionary based on the context of the role.

Core: Programming and build (data science) – Strong programming experience using a range of coding practices to build scalable data products for a range of users within a technology context (e.g. Big data, unstructured cloud). Uses Agile/Waterfall techniques and is able to work as part of a delivery team.

Core: Data Science innovation – Identifies efficient and effective ways to use data science to tackle business and organisational challenges, applying innovative techniques.

Core: Applied maths, statistics and scientific practices – Applies a range of scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions. Is confident in using analytical approaches and interpreting data.

Core: Ethics and privacy – Understands the ethical considerations of potential data science approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc. Awareness of existing Government and other frameworks.

Developing data science capability – Continuously promotes professional development by expanding data science knowledge and sharing best practice across departments/industry.

Delivering business impact – Applies data science techniques to present, communicate and disseminate data science products to achieve and measure impact whilst maintaining user focus.

Data engineering and manipulation – Use data engineering and manipulation techniques to produce / improve data product performance by selecting the most appropriate tools and technologies.

Understanding product delivery across the life cycle (data science) – Understands the different product delivery methods and phases to contribute to decision making with impact. Use a range of data sources, analytical tools and techniques throughout the life cycle to develop and deploy robust data science solutions into the business.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed at that grade level.

Trainee Data Scientist

Awareness

• Core: Programming and build (data science)
• Core: Data Science innovation
• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Working

• Core: Ethics and privacy

Associate Data Scientist

Working

Some skills are marked as core to all data scientist roles. Other skills and levels are discretionary based on the context of the role.

• Core: Programming and build (data science)
• Core: Data Science innovation
• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Data Scientist

Working

• Core: Applied maths, statistics and scientific practices
• Developing data science capability
• Delivering business impact
• Understanding product delivery across the life cycle (data science)

Practitioner

• Core: Programming and build (data science)
• Core: Data Science innovation
• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Principal or Senior Data Scientist

Practitioner

• Core: Programming and build (data science)
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Understanding product delivery across the life cycle (data science)

Expert

• Data Science innovation
• Applied maths, statistics and scientific practices
• Data engineering and manipulation

Lead Data Scientist

Practitioner

• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Expert

• Core: Programming and build (data science)
• Core: Data Science innovation
• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Head of Data Science

Working

• Programming and build (data science)

Practitioner

• Core: Data Science innovation
• Data engineering and manipulation
• Understanding product delivery across the life cycle (data science)

Expert

• Core: Applied maths, statistics and scientific practices
• Core: Ethics and privacy
• Developing data science capability
• Delivering business impact

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions for example digital, data and technology.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to leadership). However, profession agnostic and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Trainee Data Scientist - Developing skills through work experience or studying qualifications. i.e. Apprenticeship
• Junior Data Scientist (Fast Stream)
• Data Scientist (Fast Stream)
• Principal or Senior Data Scientist
• Lead Data Scientist
• Head of Data Science
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Typical qualifications or entry routes

• Apprenticeship
• Numerate Degree ( more than 50% analytical)
• Engineering Sciences
• Data Science Masters (+ professional experience depending on grade)
• Academia researchers post PhD
• Government Operational Research Professionals
• Government Statistical Group Members
• Government Economics Service Members
• Government Social Research Professionals
• Performance Analysts
• Data Engineers
• Software Engineers
• Geography or Geo Spatial

Performance Analyst

Role Summary

Performance Analysts conduct analysis and hold strong data analysis skills. They develop performance measurement frameworks – key performance indicators (KPIs), goals, user needs, benefits – and analyse the performance of a service or product against these, adapting their approach and framework appropriately and in line with any changes.

This role reflects the role of a Performance Analyst from an analytical perspective. The Digital, Data and Technology capability framework reflects skills for performance analysts in a digital team.

Typical role responsibilities

• Producing regular performance reports and dashboards by analysing data to create compelling evidence-based and actionable data stories to share with stakeholders to drive decisions.
• Helping develop robust performance frameworks to support the understanding of performance and help drive performance improvement.
• Working with project teams to procure, implement and validate appropriate analytics tools against identified performance measurement frameworks e.g. routine reporting such as KPIs and conducting a deep dive analysis of particular issues.
• Carrying out thoughtful, challenging and constructive analysis of performance data, to develop and test hypothesis relating to the design or operation of a service or product in order to ensure effectiveness, efficiency and accuracy.
• Working with a variety of qualitative and quantitative data, ensuring data and analysis is of high quality and accuracy.
• Providing challenge and collaborate with other digital and analytical professions, to provide collective insights.
• Ambassadors for analytics, supporting others to improve and interpret data.
• Continuously improving processes and systems referring to the Analysis Function Standards for example, the Aqua Book.

Main skills

Undertaking analysis and providing insight – Able to turn data into valuable insights that inform decisions. Has an understanding of analytical tools and is numerate. Collects, collates, cleanses and interprets data to derive meaningful and actionable insights. Able to identify and apply the most appropriate analytical techniques to bring different sources together to tell a story and challenge assumptions.

Broad technical understanding – Stays abreast of industry developments to make cost effective use of new and emerging tools and technologies. Keeps up to date with advances analytics tools and data manipulation products. Utilises coding and programming skills for data and analytics.

Ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Communicating analysis and insight – Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates analysis and recommendations effectively, appropriately and with high impact to a range of audiences.

Performance Measurement – Provides the intelligence to support the formulation of both short-term and long-term strategic plans. Is able to identify and analyse options and assess their feasibility and operational impact. Ensures that business solutions are aligned with strategy, business goals and end user needs.

Verification and validation of data and analysis – Is aware of quality assurance techniques. Identifies the right data sources and then validates and understands how to interpret the results. Ensures data is fit for purpose.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Performance Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Working

• Communicating analysis and insight
• Performance Measurement
• Verification and validation of data and analysis

Practitioner

• Undertaking analysis and providing insight
• Broad technical understanding
• Ability to produce clear graphical representations and data visualisations

Senior Performance Analyst

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner

• Communicating analysis and insight
• Performance Measurement
• Verification and validation of data and analysis

Expert

• Undertaking analysis and providing insight
• Broad technical understanding
• Ability to produce clear graphical representations and data visualisations

Lead Performance Analyst

Indicative grade - Level 4 G7 or G6 in the Civil Service behaviours - PDF version

Practitioner

• Undertaking analysis and providing insight
• Broad technical understanding
• Verification and validation of data and analysis

Expert

• Ability to produce clear graphical representations and data visualisations
• Communicating analysis and insight
• Performance Measurement

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions. This career path also aligns to the Digital Data and Technology – Performance Analyst role profile and skill levels.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Analyst to Leadership). However, profession agnostic (this could be an analytical role or outside of one of the analytical professions - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Performance Analyst
• Senior Performance Analyst
• Lead Performance Analyst
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Strategy Policy Analyst

Role Summary

Strategy Policy Analysts use available data and analysis to assess likely scenarios from policy implementation, addressing complex policy issues using strategic and analytical skills.

Informed by quantitative and qualitative analysis, political awareness, social and economic considerations, Strategy Policy Analysts help to develop clear-sighted, original, politically well-judged policies. Strategy Policy Analysts hold a mix of analytical skills drawing on a broad range of techniques, approaches and experiences to build a coherent and powerful evidence base that will inform strategy.

Typical role responsibilities

• Collect, analyse, interpret and present evidence to form sound policy proposals and approaches.
• Undertaking or commissioning research, stakeholder engagement, strategy development and translating messages into effective communications.
• Analysing information, identifying key drivers, applying wider policy and strategic context to the interpretation and presentation of data.
• Undertaking high quality research involving the development of the evidence base and analysis to support policy creation and progression.
• Using a range of evidence and research to develop policy options, engaging with analytical and policy specialists where necessary and ensuring that policies are aligned to outcomes.
• Working on agreed policy development initiatives, including stakeholder engagement, communication, analysis, reporting and evaluation in line with Analysis Function Standards.
• Working across teams to deliver the best available evidence and understanding of operational implications when developing and reviewing policy.

Main skills

Research methods – Knowledge of quantitative and qualitative research methods and their application to the production and presentation of evidence to support policy formulation.

Analytical skills – Uses technical and analytical expertise to advise on how best to prioritise and gather the evidence-base. Uses sound judgement and critical thinking to analyse and tackle complex issues, developing options, identifying risks and benefits to reach an overall recommendation.

Communicating insight – Excellent communication and interpersonal skills, with the ability to communicate complex analysis clearly and confidently both verbally and in writing to non-specialists and contribute effectively to discussions with ministers, senior officials and external stakeholders highlighting key policy implications.

Project management – A proven ability to manage the delivery of complex projects, delivering quality outcomes to deadline and identifying risks.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed at that grade level.

Associate Strategy Policy Analyst

Indicative grade - Level 1 AO in the Civil Service behaviours - PDF version

Awareness

• Research methods
• Analytical skills
• Communicating insight
• Project management

Strategy Policy Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Working

• Project management

Practitioner

• Research methods
• Analytical skills
• Communicating insight

Senior Strategy Policy Analyst

Indicative grade - Level 3 HEO and SEO in the Civil Service behaviours - PDF version

Practitioner

• Project management

Expert

• Research methods
• Analytical skills
• Communicating insight

Principal Strategy Policy Analyst

Indicative grade - Level 4 Level G7 and G6 in the Civil Service behaviours - PDF version

Expert

• Research methods
• Analytical skills
• Communicating insight
• Project management

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions for example Policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - Entry into this role would be subject to meeting role entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development. For example Policy profession or Social Researcher, Operational Researcher, Statistician or Economist), are possible entry and exit points into the various role levels.

• Associate Strategy Policy Analyst - developing skills through work experience or studying qualifications. i.e. Apprenticeship
• Strategy Policy Analyst
• Senior Strategy Policy Analyst
• Principal Strategy Policy Analyst
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Social and Population Analyst

Role Summary

Specialist in using primary and secondary source data to understand the narrative or answer questions on aspects of society (more focused on briefings for lots of audiences). Uses analysis to shine a light on aspects of society.

Social and Population Analysts should hold quantitative and qualitative analytical skills and experience of working in an analytical role. They may have worked as Research Officers or be members of the Government Social Research (GSR) profession. Often working in multi-disciplinary teams.

Typical role responsibilities

• Using analysis to inform outcomes and priorities; by conducting and supporting the development of analysis of data from diverse sources and interpreting outputs for a range of different stakeholders.
• Working on a variety of research projects and utilising a range of research methodologies.
• Commissioning, designing and managing analysis.
• Identifying suitable data sources.
• Creating analytical frameworks.
• Interpreting and communicating results.

Main skills

Skill level definitions

Research methods – Knowledge of quantitative and qualitative research methods and their application in research projects.

Analysis and interpretation – Social and population, quantitative and qualitative analytical skills including knowledge of specialist techniques, such as standardisation and statistical process control, and range of data sources.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

The ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Identifying research needs, designing and specifying research (in line with GSR Framework) – Makes use of different sources of information and conducts analysis of key data sets, interprets the key findings from this. Uses computer software in the analysis and presentation of information knowledge of relevant data analysis packages. Accurately interprets data and research papers.

Managing and commissioning social research (in line with GSR Framework) – Has knowledge of quality assurance methodologies required for analytical work and understands the context and relevance of quality assurance products, such as the Aqua Book.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Associate Social and Population Analyst

Indicative grade - Level 1 AO in the Civil Service behaviours - PDF version

Awareness

• Research methods
• Analysis and interpretation
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Identifying research needs, designing and specifying research (in line with GSR Framework)
• Managing and commissioning social research (in line with GSR Framework)

Social and Population Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Practitioner

• Research methods
• Analysis and interpretation
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Identifying research needs, designing and specifying research (in line with GSR Framework)
• Managing and commissioning social research (in line with GSR Framework)

Senior Social and Population Analyst

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Expert

• Research methods
• Analysis and interpretation
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Identifying research needs, designing and specifying research (in line with GSR Framework)
• Managing and commissioning social research (in line with GSR Framework)

Principal Social and Population Analyst

Indicative grade - Level 4 G7 and G6 in the Civil Service behaviours - PDF version

Expert

• Research methods
• Analysis and interpretation
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Identifying research needs, designing and specifying research (in line with GSR Framework)
• Managing and commissioning social research (in line with GSR Framework)

Sample career path

This career path aligns to the Government Social Research pathway and outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions for example Policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - Entry into this role would be subject to meeting role entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development. For example Social Researcher or Operational Researcher pathways), are possible entry and exit points into the various role levels.

• Associate Social and Population Analyst - developing skills through work experience or studying qualifications.
• Social and Population Analyst
• Senior Social and Population Analyst
• Principal Social and Population Analyst
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Social Researcher

Role Summary

Government Social Researchers use the methods of social scientific enquiry – surveys, controlled trials, qualitative research, case studies and analysis of administrative and statistical data – to measure, describe, explain and predict social and economic phenomena to policy makers.

Researchers provide government with objective, reliable, relevant and timely social research; support the development, implementation, review and evaluation of policy and delivery; ensure policy debate is informed by the best research evidence and thinking from the social science; provide in-depth data and objective analysis on what people and organisations think, how they behave and why they may not be responding to initiatives as planned; and ensure government and frontline decisions have an understanding of the people and organisations affected by that decision and the wider social consequences.

For further information on GSR roles and skills refer to the GSR Competency Framework.

Typical role responsibilities

Research Officer

• Has good knowledge of research methodology, method, and the latest techniques, (at e.g. degree level 2:1 or 1st) and ability to apply these in small scale research projects.
• Is able to design small scale and less complex research projects, defining research questions and writing draft specifications.
• Is able to summarise and interpret information accurately, making use of different sources and to conduct basic analyses of key data sets utilising a working knowledge of relevant data analysis packages.
• Has good working knowledge of departmental procurement procedures, quality assurance processes, legal and ethical issues and principles relating to social research. Uses ability to critically assess and evaluate information and evidence, to support team members in managing more complex external research projects (judging merits of research tenders, assessing research findings, evaluating new ideas or methodologies.
• Persuades others to support the research process and works to increase awareness of cross cutting research possibilities.
• Uses understanding of policy context to deliver appropriate and timely analysis and clear reporting of research results, tailored to customer needs.

Senior Research Officer

• Demonstrates a thorough knowledge of research methodology, method, and the latest techniques, including main quantitative, qualitative and evaluation methods (at e.g. post graduate level) with at least two years of applied experience. Is up to date with methodological developments.
• Holds a track record of designing medium scale or more complex projects, applying best practice guidance, identifying new areas for work, translating policy requirements into robust specifications that will meet customer needs
• Is able to accurately evaluate competing data sources and identify salient points and trends to draw sound, logical inferences
• Has experience of managing research projects of significant scale, working with other analysts and ensuring relevant legal, ethical, procurement, and quality assurance practice followed, ensuring quality of results and methodological rigour.
• Communicates analysis of complex information clearly, helping others make good use of social research evidence, even where this is not perfect.
• Stimulates interest in social research and contributes effectively to internal and external research projects.
• Understands policy context and timescales, explaining different angles critically and analytically, works with other analysts to best meet customer needs.

Principal Research Officer

• Holds an established track record (at least four years) in designing, carrying out and managing social research, and providing research based advice and briefings.
• Applies understanding of customer needs and ability to see bigger picture to identify research needs and evidence gaps and to deliver effective research designs to meet these needs.
• Evaluates and integrates research information from a variety of sources, coming to logical conclusions and communicating this effectively to senior non-specialists, assisting them to take on key findings and implications.
• Has strong research commissioning and management experience and ability to develop research coordination strategy, understanding contribution of other analytical professions.
• Is able to communicate understanding of policy realities while clearly and accurately presenting social research evidence, ensuring appropriate social research input to policy decisions.
• Works in partnership with other analysts within and outside government, and across departments to achieve high quality, robust and relevant input.
• Is an advocate for social research, educates others about social research, and so shapes customer expectations and needs.
• Keeps abreast of new methodological developments, how they might be used within departments and in different policy contexts.

Senior Principal Research Officer

• Applies knowledge to high profile and complex projects, providing a supervisory / sounding board for team leaders where appropriate.
• Improves identification of research need and ability of research work to meet this through effective challenge and promotion of innovative methods and techniques.
• Actively explores different perspectives when evaluating data; consults widely to inform this process.
• Makes use of an established track record in research formulation at the overall programme level.
• Makes timely and objective decisions, based on best available evidence and sound analysis and helps others to draw sound inferences from information.
• Encourages staff to consider new and innovative methods in social research and evaluation.
• Advocates use of social research at the strategic level, developing research strategies, actively exploring and identifying shared interests.
• Ensures programmes of work are closely aligned with customers’ strategic objectives.

Chief Research Officer

Ensures high standards for social research, keeping abreast of methodological developments and identifying value to department and across Whitehall.

• Anticipates future needs based on understanding of evidence base.
• Gives advice based on critical evaluation of wide range of research.
• Engagingly and accurately communicates relevant findings from complex research programmes to senior people and influential audiences, to give politically aware advice that informs policy and practice.
• Sets a learning culture for all staff, instilling professional integrity and high professional standards in line with the GSR code, encouraging breadth and depth in research skills including innovative methodologies and techniques and good understanding of other analytical disciplines.
• Demonstrates excellent cross functional awareness, making use of different analytical disciplines to deliver robust solutions, collaborating with senior analysts and policy colleagues to develop a coherent and integrated research vision that reflects the contribution of each analytical discipline and meets customer needs.
• Champions excellence in social research practices and application, creates intelligent customers and builds customer base, builds and maintains influential relationships with the ‘top of the office’ and key stakeholders outside government, presenting a compelling case for the value of social research.
• Uses understanding of evidence base, policy area and customers’ priorities to influence research priorities. Ensures policy and political implications of research are understood and managed, develops policy or delivery action plans in partnership with customers and ensures research capability and evidence base is relevant to short term and strategic priorities of key customers.

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

For further information on GSR roles and skills refer to the GSR Competency Framework.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Student Placement to Leadership). However, profession agnostic roles(this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - Entry into this role would be subject to meeting entry requirements) and technical specialist (this could be a badged / professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Student Placement
• Research Officer (Fast stream is an entry route at this level)
• Senior Research Officer (Fast Stream is an entry route at this level)
• Principal Research Officer
• Senior Principal Research Officer
• Chief Research Officer
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills.

User Researcher

Role Summary

Whilst the suggested role profile for a User Researcher aligns to the DDaT Capability Framework this profile details further analytical skill requirements. User researchers scope, design and carry out research activities with users that help teams get a deep understanding of the people that use a service. A user researcher is embedded in a multi-disciplinary team and responsible for planning and carrying out user research activities. They can work independently, on a variety of projects that require analytical thinking and hands-on coding or programming skills to generate insights on users of services.

Typical role responsibilities

• Responsible for planning and conducting user research activities.
• Analysing the characteristics and behaviour of a wide variety of users, at scale and across a range of data systems, to influence the design of services.
• Using analytical thinking to identify opportunities for analysis and select the most appropriate techniques to support evidence-based decision making.

Main skills

Analytical skills – Analytical/statistical thinking to identify opportunities for analysis and select the most appropriate techniques to support evidence-based decision making.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

For further details refer to the Digital, Data and Technology (DDaT) role profile for User Researcher skills, descriptions and level definitions.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Associate

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Awareness

• Analytical skills
• Communicate insight

User Researcher

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner

• Analytical skills
• Communicate insight

Senior User Researcher

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Expert

• Analytical skills
• Communicate insight

Lead User Researcher

Indicative grade - Level 4 G7 or 6 in the Civil Service behaviours - PDF version

Expert

• Analytical skills
• Communicate insight

Sample career path

This career path aligns to the DDaT Capability Framework and outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic (this could be an analytical role or outside of one of the analytical professions - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Junior User Researcher - Developing skills through work experience or studying qualifications
• User Researcher
• Senior User Researcher
• Lead User Researcher
• Leadership roles including Head of User Research - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Monitoring and Evaluation Analyst

Role Summary

Often working in evaluation teams or as evaluation lead within wider multi-disciplinary divisions, Monitoring and Evaluation leads play a fundamental role in embedding and delivering monitoring and evaluation of varied polices or programmes.

Monitoring and Evaluation leads hold research skills and experience. For example, quantitative and qualitative research design, data collection, analysis, synthesis and reporting and could be working in an analytical role or a member of an analytical profession.

Typical role responsibilities

• Delivering high quality, innovative and impactful evaluation, increasing the understanding of how policies are working, the impact they are having and identifying what can be improved.
• Developing evaluation frameworks.
• Uses analytical skills to contribute to evaluation process, preparing data for analysis, such as testing for data accuracy.
• Providing technical guidance and support to improve the quality and standard of evaluations, as well as driving innovative methods and approaches in evaluations, and improving the use and influence of evaluations.
• Help stakeholders to translate evidence, monitoring and evaluation results into practice.
• Leading managing and delivering evaluations and performing quality assurance.
• Communicating and sharing monitoring and evaluation findings, knowledge and expertise.
• Adhering to Analysis Function standards (Aqua and Magenta books).

Main skills

Data Collection – Apply a range of different data collection and analytical approaches and methods to design tailored monitoring and evaluation plans, reviews.

Analysis – Uses analytical skills to synthesise data and present well founded results and recommendations to support strategic decision making on evaluation or programme design. Testing data accuracy.

Monitoring and Evaluation – Understands the process of commissioning, designing and managing of evaluations. Has closely related analytical and research experience.

Communicate insight – Communicate complex technical monitoring, evaluation and research concepts in ways that non-experts can understand, synthesise findings, share learning from monitoring and evaluation to understand and apply findings.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Monitoring and Evaluation Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Working

• Communicate insight

Practitioner

• Data Collection
• Analysis
• Monitoring and Evaluation

Senior Monitoring and Evaluation Analyst

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner

• Communicate insight

Expert

• Data Collection
• Analysis
• Monitoring and Evaluation

Head of Monitoring and Evaluation

Indicative grade - Level 4 G7 or G6 in the Civil Service behaviours - PDF version

Expert

• Data Collection
• Analysis
• Monitoring and Evaluation
• Communicate insight

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions for example Government Social Research and Policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Analyst to Leadership). However, profession agnostic (this could be an analytical role or outside of one of the analytical professions - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Associate – could be working as a Social Researcher, Data Analyst; developing skills through work experience or studying qualifications
• Monitoring and Evaluation Analyst
• Senior Monitoring and Evaluation Analyst
• Head of Monitoring and Evaluation
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams having developed leadership skills

Operational Researcher

Role Summary

Operational Research provides a clear understanding of problems and applies mathematical, scientific and facilitative methods to analyse a wide range of real-world issues. Analysts offer rigorous, objective and practical analytical support to decision makers. Operational research is about working with policy makers and managers to solve tomorrow’s problems today. It calls for scientific methods of analysis and a systematic exploration of the quantifiable aspects of problems. For further information on GORS roles and skills refer to the GORS Competency Framework

Typical role responsibilities

OR Placement Student

• Develops knowledge and understanding of strengths and limitations of OR techniques applied in team’s area. Develops experience in the practical application of techniques to own work area.
• Recognises the importance of data quality, identifying and raising issues relevant to work.
• Reports own analytical work in sufficient detail, meeting customer needs, effectively presenting results in both written and oral form.
• Seeks opportunities to learn from colleagues.

GORS Level 1

• Works with direction from a senior grade on what analysis to do and how best to do it.
• Develops a growing knowledge and understanding of a range of hard and soft OR techniques and problem-solving approaches and be able to apply the correct approach to the problem at hand.
• Communicates key messages from analytical work in clear and concise lay terms for a variety of audiences.
• Provides quality and product assurance for others, escalate risks if quality and product assurance is compromised.
• Provides guidance to junior staff on how to get the most out of their training and professional development.

GORS Level 2

• Can manage and deliver projects with minimal supervision.
• Be able to challenge leadership on the right analysis to conduct within the time constraints.
• Helps break down complex problems into a clear structure and formulates specific questions that can be tackled through analysis of available data and modelling.
• Describes how they have explained the limitations or uncertainties in their analysis and what this means for the business or policy area.

GORS Level 3

• Be proficient in managing a project from end to end, facilitating stakeholder agreement and providing analytically sound quality assured work.
• Has extensive knowledge and depth of understanding of a number of OR techniques and demonstrates a breadth of knowledge, across a range of hard and soft analytical techniques.
• Fully knowledgeable about strengths and limitations of analysis and underlying data and can describe how they have explored uncertainty in a piece of analysis and how they explained the implications to the client.
• Promotes professionalism and exemplifies best practice in the performing and communication of analytical work.
• Ensures that projects are managed well, and fully documented.

Grade 6 and 7

• Manages a team of analysts, providing direction and clarity on analytical projects
• Instils professionalism and integrity in all aspects of analytical work, delivers GORS best practice ensuring that work is appropriately quality assured.
• Convinces senior officials on the implications of analytical evidence in a wide context.
• Supports GORS recruitment, induction of high quality OR professionals in the GORS community. Supports progressive professional development, including time to explore the newest techniques and technologies.

Grade 5

• Champions and sets direction for major proposals for analytical work programmes involving OR contributions, ensuring the contribution made by OR supports the aims and objectives of the Department.
• Reviews findings and recommendations of analytical work with senior officials and able to convince Ministers and senior officials on policy and programme implications of analytical evidence.
• Leads on the OR capability within the Department through setting the overall direction, identifying future needs, and embracing future advancements seen in OR outside government and in other Government Departments. Works to facilitate, promote, and maintain GORS professional activities, ensuring OR is recognised within the Department as most current standard of analysis.

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions. For further information on GORS roles and skills refer to the GORS Competency Framework

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Analyst to Leadership). However, profession agnostic (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Student Placement or Temporary Operational Analyst
• GORS Level 2 (Fast Stream)
• GORS Level 3 (Fast Stream)
• GORS Grade 7
• GORS Grade 6
• GORS Grade 5 / Chief Operational Analyst
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Economist

Role Summary

Economic Advisers lead on analytical projects and deliver impact by influencing policy decisions using in-depth economic theory and analysis.

For further information on GES roles and skills refer to the GES Competency Framework.

Typical role responsibilities

Placement Students

Sandwich course students who take an academic year away from university to work in the role of a government economist for 12 months. The aim of a placement student is to take on a job role that is at a comparable level to Assistant Economists.

• Will learn to apply economic concepts and tools/methodologies to a range of practical, real world problems.
• Different roles require different skills and provide opportunities for the development of a range of new skills, both technical and softer: may be involved in policy analysis, preparing impact assessments (for policy/legislative changes), helping to prepare briefing notes and submissions to ministers, or preparing forecasts to feed into fiscal events, such as the Autumn Statement or Budget. Every role is dynamic and evolves throughout the year due to changes in the political climate, and how the placement student develops as an economist.
• Are given wide development opportunities varying from communication with important stakeholders, to leadership skills, to statistical software training.

Assistant Economists

Will learn to apply economic concepts and tools/methodologies to a range of practical, real world problems.

• Different roles require different skills and provide opportunities for the development of new skills: you may be involved in economic appraisal for investments, preparing impact assessments (for policy/ legislative changes), help prepare briefing notes and submissions to ministers, or work on a range of projects.
• Build skills in effectively communicating analysis to a range of customers/stakeholders, including non-analysts. This involves conveying technical concepts into ‘layman’ terms.

Economic Advisers

• In addition to effectively communicating economic concepts to non-economists, Economic Advisers engage with all relevant stakeholders to ensure evidence-based decision-making is at the heart of the policy design.
• Economic Advisers are responsible for delivering results; managing team performance, placing a high importance on quality and prioritising work streams as required.
• Economic Adviser roles can vary in their technical skill requirements, extent of application of core economic theory and people management responsibilities.

Senior Economic Advisors

Often leads larger teams of economists or multidisciplinary teams working on a portfolio of related analytical projects and deliver impact by using both in-depth economic theory as well as the insights gained from other analytical professions.

• Engage with, and frequently manage analysts from other professional disciplines and take a leading role in engaging with relevant stakeholders to ensure evidence-based decision-making is at the heart of policy design.
• Deliver results through G7-led teams by seeing the connections and the bigger picture. While they may do less analysis themselves, they are more likely to be involved in wider decisions about prioritising work streams and staff resources.

Chief Economist

An SCS grade Chief Economist has a greater amount of leadership and management responsibilities compared to the previous grade. A key difference is the level of engagement required with ministers, the executive team and the permanent secretary. As a result, there is less focus on using economics, and more focus on how economists can work effectively with other professions, and how to make the best use of economics.

• The role itself involves leading by setting the strategic direction for analytical teams and aligning work to departmental and ministerial priorities.
• Compared to the previous grade, there is greater impetus on making the case for economics in the policy-making process, having a broader understanding of economics as well as experience to best advise on how to tackle problems. The role also involves more quality assurance, which utilises accrued experience.

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

For further information on GES roles and skills refer to the GES Competency Framework.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Student Placement/Interim Economist to Leadership roles). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - Entry into this role would be subject to meeting entry requirements), and technical specialist (this could be a badged/professional role - subject to entry requirements and development), , are possible entry and exit points into the various role levels.

• Student Placement/Interim Economist
• Assistant Economist (Profession agnostic roles not an enrty point at this level)
• Senior Assistant Economist (Profession agnostic roles not an entry point at this level)
• Economic Advisor
• Senior Economic Advisor
• Deputy Chief Economist
• Chief Economist
• Director General
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Microeconomic Analyst

Role Summary

Microeconomic Analysts are economists specialising in analysing the behaviour of individuals and/or firms.

Typically working alongside Economists or as a member of a multi-disciplinary team Microeconomic Analysts are technical specialists with extensive experience, relevant qualification in economics or analytical professional membership.

Typical role responsibilities

• Applying microeconomic principles and analysis to answer policy questions.
• Designing, creating, testing and refining econometric or statistical models using appropriate software packages to support decision making.
• Utilising quantitative research skills including knowledge of statistical techniques used in applied economics.
• Analysing data using appropriate software packages.
• Producing and communicating analysis.

Main skills

Technical Skills - Aligning to GES Competency Framework

Economics – A strong understanding of microeconomic theory.

Mathematical modelling – A strong understanding of mathematical / statistical modelling approaches.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

The ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Use of modelling tools and techniques – Ability to run models in software packages.

Analysis – Uses analytical skills and analytical software to present well-founded results and recommendations to support decision making.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Microeconomic Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Practitioner

• Economics
• Mathematical modelling
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques
• Analysis

Senior Microeconomic Analyst

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Working

• Communicate insight
• Analysis

Expert

• Economics
• Mathematical modelling
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques

Head of Microeconomic Analysis

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Working

• Mathematical modelling
• Use of modelling tools and techniques

Expert

• Economics
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Analysis

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership roles). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - entry into this role would be subject to meeting role entry requirements) or technical specialist (this could be a badged / professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate - Developing skills through work experience or studying qualifications, i.e. data analyst
• Microeconomic Analyst
• Senior Microeconomic Analyst
• Head of Microeconomics
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams having developed leadership skills

Macroeconomic Analyst

Role Summary

Macroeconomic Analysts are economists specialising in the behaviour and performance of the aggregate economy. This can be at the national level, the international level, or a mixture of both.

Typically working alongside Economists or as a member of a multi-disciplinary team Macroeconomic Analysts are technical specialists with extensive experience, relevant qualification in economics or analytical professional membership.

Typical role responsibilities

• Applying macroeconomic principles to lead the production of forecasts and associated analysis, related to the performance of the aggregated economy.
• Designing, creating, testing and refining econometric or statistical models to support decision making.
• Analysing data using appropriate software packages.
• Producing and communicating analysis.

Main skills

Technical Skills - Aligning to GES Competency Framework

Economics – A strong understanding of macroeconomic theory.

Mathematical modelling approaches – A strong understanding of mathematical / statistical modelling approaches.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

The ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Use of modelling tools and techniques – Ability to run models in software packages.

Analysis – Uses analytical skills and analytical software to present well-founded results and recommendations to support decision making.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Macroeconomic Analyst

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Practitioner

• Economics
• Mathematical modelling
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques
• Analysis

Senior Macroeconomic Analyst

Expert

• Economics
• Mathematical modelling
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques
• Analysis

Head of Macroeconomic Analysis

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Working

• Mathematical modelling
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques
• Analysis

Expert

• Economics

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership roles). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - entry into this role would be subject to meeting role entry requirements) or technical specialist (this could be a badged / professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate - Developing skills through work experience or studying qualifications, i.e. data analyst
• Macroeconomic Analyst
• Senior Macroeconomic Analyst
• Head of Macroeconomics
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams having developed leadership skills

Econometric Modeller

Role Summary

Econometric Modellers work either in teams of economists or wider, multi-disciplinary teams running models, for example CGE (Computable General Equilibrium) or partial equilibrium for scenario analysis in software packages.

Typically working alongside Economists or as a member of a multi-disciplinary team Econometric Modellers are technical specialists with extensive experience, relevant qualification in economics or analytical professional membership.

Typical role responsibilities

• Developing and maintaining econometric models.
• Designing, creating, testing and refining econometric or statistical models using appropriate software packages.
• Analysing data using appropriate software packages.
• Producing and communicating analysis.

Main skills

Economics – A strong understanding of economic theory.

Mathematical modelling – A strong understanding of mathematical / statistical modelling approaches.

Communicate insight – Excellent communication and interpersonal skills, with the ability to communicate complex analysis clearly and confidently both verbally and in visually to specialists and non-specialists.

The ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Use of modelling tools and techniques – Ability to run models in software packages.

Analysis – Uses analytical skills and analytical software to present well-founded results and recommendations to support decision making.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Econometric Modeller

Indicative grade – Level 2 EO in the Civil Service behaviours - PDF version

Awareness

• Economics
• Mathematical modelling
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques
• Analysis

Senior Econometric Modeller

Indicative grade – Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Working

• The ability to produce clear graphical representations and data visualisations
• Use of modelling tools and techniques

Practitioner

• Economics
• Mathematical modelling
• Communicate insight
• Analysis

Head of Econometric Modelling

Indicative grade – Level 4 G7 or G6 in the Civil Service behaviours - PDF version

Practitioner

• Economics
• The ability to produce clear graphical representations and data visualisations

Expert

• Mathematical modelling
• Communicate insight
• Use of modelling tools and techniques
• Analysis

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic (this could be an analytical role or outside of one of the analytical professions - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Associate – Developing economic skills through work experience or studying qualifications i.e. working as a GES Apprentice or Fast Stream or Graduate
• Econometric Modeller
• Senior Econometric Modeller
• Head of Econometric Modelling
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams having developed leadership skills

Methodologist

Role Summary

Methodologists are methods experts in areas such as time series, sample design, modelling, analysis, quality, statistical computing, harmonisation and questionnaire design. Methodologists design all steps in conducting a survey from population of interest, sample, mode for survey and contact and elements of data collection. Alongside questionnaire design and how results are weighted and analysed.

A technically specialist role, methodologists need strong statistical and data analysis skills and are usually members of the Government Statistical Service or Government Social Research profession.

Typical role responsibilities

• Working on a range of well-defined research projects, applying relevant social research or statistical skills, knowledge and judgement to conduct analysis, investigate options, and develop and improve data collection methods.
• Working closely with their customers to communicate findings, often including delivering presentations and writing reports.
• To be part of, and contribute to teams that specialise investigating and developing data collection tools and techniques, and work as part of other multi-disciplinary teams on specified projects.
• Organising and delivering a programme of different projects for a variety of stakeholders, working with them to determine their needs, and supporting them pro-actively and often at short-notice with ad hoc requests;
• Senior roles may include leadership of a team.
• Typically, methodologists hold a degree or significant relevant experience from a social research or statistical background and are members of the Government Statistical Service or Government Social Research profession.

Main skills

Statistical Methods – Has a broad mathematical and statistical awareness, along with the ability to develop deep expertise in specialised areas of statistical methodology and its application.

Research Methods – Uses these to investigate and understand complex methodological problems and processes, and to make sound and reasoned decisions in areas of expertise, anticipating likely outcomes and future, strategic needs. Advises on related matters, guiding others when evaluating the impact of methodological choices.

Software tools and techniques – An aptitude for statistical computing (programming), and the ability to learn new programming languages.

Communicate insight – Strong verbal and written communication skills. Presenting statistical results orally and in writing using a range of formats, and to different audiences.

Project management – Working with stakeholders to gather requirements acting as subject matter expert.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Associate Methodologist

Indicative grade – Level 2 EO in the Civil Service behaviours - PDF version

Awareness

• Statistical Methods
• Research Methods
• Analytical Skills
• Software tools and techniques
• Communicate insight
• Project management

Methodologist

Indicative grade – Level 3 HEO in the Civil Service behaviours - PDF version

Working

• Analytical Skills
• Software tools and techniques
• Communicate insight
• Project management

Practitioner

• Statistical Methods
• Research Methods

Senior Methodologist

Indicative grade – Level 3 SEO in the Civil Service behaviours - PDF version

Practitioner

• Analytical Skills
• Software tools and techniques
• Communicate insight
• Project management

Expert

• Statistical Methods
• Research Methods

Principal Methodologist

Indicative grade – Level 4 G7 and G6 in the Civil Service behaviours - PDF version

Expert

• Statistical Methods
• Research Methods
• Analytical Skills
• Software tools and techniques
• Communicate insight
• Project management

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points: The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Associate Methodologist – Developing skills through work experience or studying qualifications, i.e. Statistical Apprenticeship
• Methodologist
• Senior Methodologist
• Principal Methodologist
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Statistician

Role Summary

Statisticians work in government as analysts, producers of official statistics and in some cases as data scientists. In all of their job roles they use their recognised professional standards to ensure the quality and integrity of their work. The Government Statistician Group Competency Framework gives further guidance.

The profession works within the Government Statistical Service (GSS), the community for all civil servants working in the collection, production and communication of official statistics.

Typical role responsibilities

Placement Student or Statistical Officer

Placement students are sandwich course students who take an academic year away from university to work in the role of a government statistician for 12 months. The aim of a placement student is to take on a job role that is at a comparable level to a Statistical Officer. Statisticians at this level can expect:

• To be supervised by more senior statisticians/ data scientists
• To be responsible for own work and contributes to statistical or data science production
• To gain experience working within a statistical or data science role using formal statistical qualifications gained from previous education or experience
• To develop strong working knowledge of tools and methods.

Higher Statistical Officer

• Responsible for aspects of statistical production or data science projects
• May manage junior grades including non- analysts
• Able to communicate and champion statistics or data scientists in their own area of work
• Continues to develop their technical skills

Senior Statistical Officer

• Responsible for multiple aspects of statistical production or data science analytical projects
• Often manages teams of analysts and non- analysts
• Can develop expertise in technical skills through further training /qualifications

Principal Statistician

• Head of statistical/data science teams, responsible for statistical/data science production or areas
• Are often regarded as topic experts and champions for their topic area, and their team’s work
• Can develop expertise in technical skills through further training /qualifications

Senior Principal Statistician

• Head of multiple statistical or data science teams, responsible for whole programs of statistical and data science work
• Have an overview of the statistical, data and political environment and are champions for the use of statistics and data science across government

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions.

For further information refer to the GSG Competency Framework

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Placement Student or Statistical Officer to Leadership roles). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Placement Student or Statistical Officer
• Higher Statistical Officer
• Senior Statistical Officer
• Principal Statistician
• Senior Principal Statistician
• Chief Statistician
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Survey Manager

Role Summary

Responsible for the technical running of surveys to collect data. Survey Managers manage end to end survey projects and understand how to design optimal surveys to meet requirements.

Managing internal and external stakeholders at all levels and acting as a focal point for survey projects.

Typical role responsibilities

• Leading the day to day running of survey management tasks and management of survey projects.
• Taking ownership of the survey lifecycle including scoping, costing and project management.
• Developing optimal surveys, understanding user requirements to develop and adapt surveys using survey design techniques to meet them.
• Ensuring surveys deliver data that is fit for purpose (in line with standards such as Aqua book and GSG framework).
• Maintain and manage relationships of internal and external stakeholders.
• Manipulate, disseminate and present data using appropriate tools.
• Senior roles may include leadership of a team.
• Typically survey managers hold a degree or significant relevant experience from a quantitative subject and are members of the Government Statistical Group or Government Social Research profession.

Main skills

Survey design – Understands how to design optimal surveys to meet requirements.

Survey management – Understands survey management and methodologies.

Data analysis – Able to identify key issues from data/information received, presenting and sharing as relevant.

Statistical methods – Knowledge of statistical methodologies.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

Project management – Working with stakeholders to gather requirements and deliver surveys.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role Levels

Indicative grade - Level 1 AO in the Civil Service behaviours - PDF version

Awareness

• Survey design
• Survey management
• Data analysis
• Statistical methods
• Communicate insights
• Project management

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Awareness

• Survey management

Working

• Survey design
• Statistical methods
• Communicate insights
• Project management

Practitioner

• Data analysis

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner

• Survey management
• Statistical methods
• Communicate insights
• Project management

Expert

• Survey design
• Data analysis

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Practitioner

• Data analysis
• Statistical methods

Expert

• Survey design
• Survey management
• Communicate insights
• Project management

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - Entry into this role would be subject to meeting role entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development.), are possible entry and exit points into the various role levels.

• Associate Survey Manager - developing skills through work experience or studying qualifications i.e. apprentice
• Survey Manager
• Senior Survey Manager
• Lead Survey Manager
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Statistics Production Analyst

Role summary

Communications expert able to analyse and present data to audiences through multiple media.

Typical role responsibilities

Implements appropriate visualisation methods for products either new or existing to boost and maximise user engagement. Working in a team alongside data visualisation specialists to create engaging content to share data insights

Main skills

Proven ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Communicate insight – Excellent communication skills, with the ability to communicate complex analysis clearly and confidently to specialists and non-specialists using visualisation techniques.

Analysis – Uses analytical skills to present well-founded results and to share important data insights.

Software, programming tools and techniques – Utilising coding and programming skills for data and analytics and visualisations.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role levels

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Working

• Software, programming tools and techniques

Practitioner

• Proven ability to produce clear graphical representations and data visualisations
• Communicate insight
• Analysis

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Practitioner

• Analysis
• Software, programming tools and techniques

Expert

• Proven ability to produce clear graphical representations and data visualisations
• Communicate insight

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Practitioner

• Proven ability to produce clear graphical representations and data visualisations
• Communicate insight
• Analysis
• Software, programming tools and techniques

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - Entry into this role would be subject to meeting role entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate Statistic Production Analyst - developing skills through work experience or studying qualifications, ie working as a data analyst
• Statistics Production Analyst
• Senior Statistics Production Analyst
• Lead Statistics Production Analyst
• Leadership roles - broader analytical understanding, leading multi-disciplinary teams, leadership skills

Mathematical Modeller

Role summary

Mathematical Modellers use technical understanding of modelling, simulation and statistical knowledge to support teams or programmes of work.

Working in dedicated teams or within multidisciplinary analytical teams, Mathematical Modellers usually have experience of working in a numerate role or a qualification in a numerate subject and an awareness of mathematical modelling tools and programmes.

Typical role responsibilities

• Developing and using analytical models and techniques often using spreadsheets, databases and pragmatic, numerical approaches to solve problems.
• To identify, use and analyse complex data-sets, synthesising multiple evidence sources, and using a range of software including data-base and statistical packages.
• To develop and implement protocols for managing development of models.
• Producing and communicating analysis

Main skills

Mathematical modelling – A strong understanding of mathematical / statistical modelling approaches.

Communicate insight – Excellent communication and interpersonal skills, with the ability to communicate complex analysis clearly and confidently both verbally and in visually to specialists and non-specialists using visualisation techniques.

Use of modelling tools and techniques – Ability to run models in software packages.

Analysis – Uses analytical skills and analytical software to present well-founded results and recommendations to support decision making.

Skill level definitions

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Mathematical Modeller

Indicative grade - Level 2 EO in the Civil Service behaviours - PDF version

Practitioner

• Mathematical modelling
• Communicate insight
• Use of modelling tools and techniques
• Analysis

Senior Mathematical Modeller

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Expert

• Mathematical modelling
• Communicate insight
• Use of modelling tools and techniques
• Analysis

Head of Mathematical Modelling

Indicative grade - Level 4 Level G7 or G6 in the Civil Service behaviours - PDF version

Working

• Mathematical modelling
• Communicate insight
• Use of modelling tools and techniques
• Analysis

Sample career path

This career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions - entry into this role would be subject to meeting role entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate Mathematical Modeller - developing skills through work experience or studying qualifications, ie working as a data analyst
• Mathematical Modeller
• Senior Mathematical Modeller
• Head of Mathematical Modelling
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Actuary

Role Summary

Actuaries are highly numerate problem solvers and strategic thinkers. They are client focused, with a good understanding of their clients’ needs and they strive to add value. Throughout their careers, actuaries continue to develop their skills and knowledge, maintain their technical competence and comply with professional standards.

Working mainly in the Government Actuary’s Department (GAD), actuaries in government provide actuarial advice and analysis to clients in government departments and a number of public sector organisations.

Actuaries are involved in projects to understand different risks faced by their clients – estimating future costs arising from these risks and advising on strategies to manage them. As such, actuaries in government are involved in diverse areas of advice including insurance, investment, modelling, quality assurance, pensions and social security.

This has enabled actuaries to collaborate in multi-disciplinary teams to produce bespoke and innovative solutions to challenges faced by the public sector.

Typical role responsibilities

• Producing actuarial analysis, advice and assurance for clients
• Carrying out complex calculations, modelling, drafting insightful reports, checking and reviewing the work of others and communicating effectively
• Collaborating with colleagues and clients to scope and deliver work in an efficient and timely manner, with a focus on providing value for money
• Providing consistently high levels of service
• Managing projects and resources effectively
• Motivating and building teams
• Seeking opportunities to work with others to utilise actuarial skills in the public sector
• Complying with all professional actuarial standards and continuous professional development requirements

Recommended behaviours

• Working together
• Communicating and influencing
• Leadership

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Main skills

High levels of numeracy – Proven mathematical skills demonstrated through relevant qualifications or work experience.

Logical and creative thinking skills – Can approach a problem applying logic and creativity.

Analytical and problem-solving skills – The ability to apply analytical techniques to present a solution.

Communicate insight – Strong verbal and written communication skills, sharing insights with stakeholders.

The ability to produce clear graphical representations and data visualisations – Able to interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

Professional membership – Relevant membership level of professional body.

Knowledge of specialist area – Including impact of current legislation and government policy.

Consultancy and client relationship – Able to provide good consultancy and manage client relations.

Skill level definitions

Additional Learning

Role Levels

• Trainee Actuary
• Band 1 to 4
• Band 5

Listed against each main skill are the skill levels needed at that grade level.

Trainee Actuary

Indicative grade - Level 3 HEO or SEO in the Civil Service behaviours - PDF version

Awareness

• Knowledge of specialist area
• Consultancy and client relationship

Working

• High levels of numeracy
• Logical and creative thinking skills
• Analytical and problem-solving skills
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Professional membership

Band 1 to 4

Indicative grade - Level 4 - 6 Level G7 or G6 or SCS in the Civil Service behaviours - PDF version

Practitioner

• High levels of numeracy
• Logical and creative thinking skills
• Analytical and problem-solving skills
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Knowledge of specialist area
• Consultancy and client relationship

Expert

• Professional membership

Band 5

Indicative grade - Level 4 - 6 Level G7 or G6 or SCS in the Civil Service behaviours - PDF version

Expert

• High levels of numeracy
• Logical and creative thinking skills
• Analytical and problem-solving skills
• Communicate insight
• The ability to produce clear graphical representations and data visualisations
• Professional membership
• Knowledge of specialist area
• Consultancy and client relationship

Sample career path

The Actuarial career path outlines some of the common entry and exit points and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical and digital professions or non-analytical or non-digital professions.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Trainee Actuary to Leadership). However, profession agnostic roles and technical specialist (this could be a badged / professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Trainee Actuary
• Actuary (Band 1-4)
• Actuary (Band 5)
• Chief Actuary
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Geographic Analyst

Role Summary

Geographic Analysts work with geospatial and georeferenced data to generate insight and support decision making.

They are able to integrate geographic data within their analytical workflows and apply different specialist techniques to account for the geographic dimensions of the data.

They communicate analysis effectively, including using cartography and geovisualisation to present intelligence from complex geographic datasets.

Typical role responsibilities

• Responsible for producing analytical outputs that integrate spatial and georeferenced data from a range of sources to provide integrated geographical evidence to support business decisions and policies
• Ensures that spatial dependency and spatial relationships can be considered in generation of solutions to business problems through the application of a range of specialised spatial analysis techniques
• Maximises the available evidence base and brings geographical insight to decision making through the application of specialist tools and techniques for analysing geographic data sources such as georeferenced administrative data, remote sensed imagery, point clouds, GPS tracks, and unstructured geographic text
• Ensures that stakeholders are effectively engaged with geographic dimensions of their problems, for example through the use of best practise and standards from cartography and geovisualisation in their analytical outputs
• Responsible for ensuring geospatial analytical outputs are of a high quality and fit-for-purpose through the application of best practise, policies and standards for assurance and reporting of geospatial analytical outputs

Recommended behaviours (to support development up to G7 or G6)

• Seeing the big picture
• Making effective decisions
• Delivering at pace
• Communicating and influencing
• Working together
• Developing self and others

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Main skills

Geographic knowledge – Understand geographic processes and how they shape the physical and human world at different scales.

Geospatial data analysis – Integrates and aggregates data based on its spatial reference. Understands and applies techniques for analysing spatial relations and modelling surfaces and terrain.

Spatial statistics – Understand and apply statistical techniques dealing with spatial dependence, and for identifying spatial patterns or reducing the dimensional complexity of large place-based datasets.

Cartography and interactive mapping – Understand and apply techniques for mapping geospatial data in effective and engaging ways.

Earth observation – Able to use specialist techniques to classify and extract information from imagery and other remotely sensed sources.

Geospatial tools and software – Able to employ specialised software or libraries in the analysis of geospatial data, interactively and in coded analysis pipelines.

Spatial modelling and optimisation – Understand and model geographical systems and apply techniques to optimise or make forecasts from those.

Skill level definitions

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Associate Advisor

Awareness

• Spatial statistics
• Cartography and interactive mapping
• Earth Observation
• Spatial modelling and optimisation

Working

• Geographic knowledge
• Geospatial data analysis
• Geospatial tools and software

Advisor

Working

• Geographic knowledge
• Spatial statistics
• Cartography and interactive mapping
• Earth Observation
• Spatial modelling and optimisation

Practitioner

• Geospatial data analysis
• Geospatial tools and software

Senior Advisor

Working

• Earth Observation
• Spatial modelling and optimisation

Practitioner

• Geographic knowledge
• Spatial statistics
• Cartography and interactive mapping

Expert

• Geospatial data analysis
• Geospatial tools and software

Principal Advisor

Practitioner

• Spatial statistics
• Earth Observation
• Spatial modelling and optimisation

Expert

• Geographic knowledge
• Geospatial data analysis
• Cartography and interactive mapping
• Geospatial tools and software

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions for example digital, data and technology or policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - entry into this role would be subject to meeting entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate - developing skills through work experience or studying qualifications, ie Apprenticeship
• Geographic Analyst
• Senior Geographic Analyst
• Principal Geographic Analyst
• Leadership Roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Geographic Advisor

Role Summary

Geographic advisors use specialist geographic knowledge and techniques to contextualise and support decision making and the development, delivery, and evaluation of policies, or to develop and promote policies related to geographic understanding or information.

They are experts in understanding and analysing environmental and/or human processes and interactions in places and at scale and use their knowledge to provide advice and evaluate evidence in support of government challenges.

Geographic advisors are adept at working in multi-disciplinary settings and coordinating the activities of these different professions to solve business and policy challenges that benefit from geographical insight.

Typical role responsibilities

• Provide expert advice on business problems that benefit from geographical insight using their knowledge and assessment of related evidence
• Develop and manage a programme of geographic research and collate an evidence base related to business needs
• Coordinate activities by different professions around problems based on their integrated understanding of place, geographical systems, scale and inter-relationships
• Synthesise geographical research and evidence to compile reports and make recommendations
• Advise colleagues form other analytical professions on geographical aspects of their work and facilitate links to technical support where required

Recommended behaviours (to support development up to G7/6)

• Seeing the big picture
• Making effective decisions
• Leadership
• Communicating and influencing
• Working together
• Developing self and others

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Main skills

Geographic expertise – Apply fundamental knowledge from a geographic sub-discipline to support govt. decision making.

Geographic evidence – Evaluate and critique evidence using geographical knowledge and techniques to build a high-quality evidence base around an issue.

Geographic coordination – Understand different technical and govt. disciplines and coordinates and integrates activity of these to tackle place-based problems.

Geographic research – Knowledge of different sources of geographic evidence and research and ability to synthesise these to make policy recommendations.

Geographic strategy – Develop strategies and plans for geographic policy or research that supports business objectives and manages their commissioning and delivery.

Geographic compliance – Knowledge of statutory requirements related to their discipline and can advise on their compliance.

Geographic evaluation – Knowledge of different sources of evidence and techniques for evaluating geographical impacts of policy.

Skill level definitions

Additional Learning

Role Levels

Listed against each main skill are the skill levels needed at that grade level.

Associate Advisor

Awareness

• Geographic coordination
• Geographic research
• Geographic compliance
• Geographic evaluation

Working

• Geographic expertise
• Geographic evidence
• Geographic strategy

Advisor

Working

• Geographic expertise
• Geographic evidence
• Geographic coordination
• Geographic research
• Geographic strategy
• Geographic compliance
• Geographic evaluation

Senior Advisor

Practitioner

• Geographic expertise
• Geographic evidence
• Geographic coordination
• Geographic research
• Geographic strategy
• Geographic compliance
• Geographic evaluation

Principal Advisor

Practitioner

• Geographic evaluation

Expert

• Geographic expertise
• Geographic evidence
• Geographic coordination
• Geographic research
• Geographic strategy
• Geographic compliance

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels.

Entry and exit points can include roles from other analytical professions or other professions for example Policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - entry into this role would be subject to meeting entry requirements) and technical specialist (this could be a badged or professional role - subject to entry requirements and development), are possible entry and exit points into the various role levels.

• Associate - developing skills through work experience or studying qualifications i.e. Apprenticeship
• Geographic Advisor
• Senior Geographic Advisor
• Principal Geographic Advisor
• Leadership roles - broader analytical understanding - leading multi-disciplinary teams, leadership skills

Geospatial Information Specialist

Role Summary

Geospatial Information Specialists collect, collate, manage and maintain geospatial data. They understand techniques for primary data collection used in surveying, geomatics and remote sensing, as well as methods for linking administrative data by geographic references. They have experience working with a range of geospatial data sources and understand their strengths and weaknesses when applied to work in Government.

They can represent and manage geographic information within spatial data infrastructures, applying relevant data standards and making informed assessments on data quality. They are able to employ different geospatial technology platforms for managing geospatial data and make them accessible to others, including building capability in their use.

Typical role responsibilities

• Captures and/or prepares geospatial data for use in business decisions and processes through the application of relevant scientific knowledge, eg surveying, photogrammetry, geomatics, geocoding and addressing, cartography, and remote sensing
• Generates derived, analysis-ready geospatial products eg, terrain and surface models from point clouds, through the design and application of processing workflow and corrections
• Responsible for the managing and administering geospatial datasets collated from different sources according to governance and quality standards for geospatial information
• Develops and implements geospatial strategies for maximising the value from geospatial investments and ensuring quality and security of resources is maintained
• Administers geospatial data platforms and manages their datasets to provide efficient and accessible geospatial data services
• Trains others in the use of geospatial data and related information systems
• Contributes to the development and application of standards, policies and procedures for geospatial data

Recommended behaviours

• Seeing the Big Picture
• Change and improving
• Managing a Quality Service
• Developing Self and Others
• Working together

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Main skills

Geospatial data capture and modelling – Understand and apply techniques to measure the physical and human world. Abstracts information about the world using geospatial models.

Geospatial data manipulation – Able to geo-reference, correct, calibrate, project and transform geospatial data.

Geospatial data management – Collates and manages datasets within a workflow and architecture for geospatial data. Understands legal and ethical issues around geospatial data including rights, liability, privacy and access.

Geospatial data standards and quality – Knowledge and application of standards and formats for geospatial data and technology interoperability. Understands different quality components of geospatial data, and the use of metadata.

Geospatial software and systems – Able to apply desktop and online tools for managing, analysing and displaying geospatial data, interactively or in workflows.

Capability building – Supports and trains others to use geospatial data in their work.

Geospatial strategy and architecture – Able to gather user requirements for geospatial data and apply them to the design of platform architectures or policies for governance.

Skill level definitions

Additional Learning

Role levels

Listed against each main skill are the skill levels needed for that grade level.

Associate Geospatial Information Specialist

Indicative grade – Level 2 EO in the Civil Service behaviours - PDF version

Awareness

• Geospatial data management
• Geospatial data standards and quality
• Geospatial software and systems
• Geospatial strategy and architecture

Working

• Geospatial data capture and modelling
• Geospatial data manipulation
• Capability Building

Geospatial Information Specialist

Indicative grade – Level 3 HEO in the Civil Service behaviours - PDF version

Working

• Geospatial data capture and modelling
• Geospatial data management
• Geospatial data standards and quality.
• Geospatial software and systems
• Geospatial strategy and architecture

Practitioner

• Geospatial data manipulation
• Capability building

Senior Geospatial Information Specialist

Indicative grade – Level 3 SEO in the Civil Service behaviours - PDF version

Working

• Geospatial software and systems
• Geospatial strategy and architecture

Practitioner

• Geospatial data capture and modelling
• Geospatial data management
• Geospatial data standards and quality.

Expert

• Capability building

Principal Geospatial Information Specialist

Indicative grade – Level 4 G7 or G6 or SCS in the Civil Service behaviours - PDF version

Practitioner

• Geospatial data management
• Geospatial software and systems
• Geospatial strategy and architecture

Expert

• Geospatial data capture and modelling
• Geospatial data manipulation
• Geospatial data standards and quality.
• Capability building

Sample career path

The career path outlines some of the common entry and exit points in the role and illustrates the typical skill levels. Entry and exit points can include roles from other analytical professions or other professions for example digital, data and technology or policy.

Entry and exit points:

The main career path is usually advancing through the grade levels listed (Associate to Leadership). However, profession agnostic roles (this could be an analytical role or outside of one of the analytical professions i.e. policy or digital - subject to meeting role entry requirements) and technical specialist roles (this could be a badged or professional role - subject to entry requirements and development) are possible entry and exit points into the various role levels.

• Associate Geospatial Information Specialist– Developing skills through work experience or studying qualifications, ie Apprenticeship
• Geospatial Information Specialist
• Senior Geospatial Information Specialist
• Principal Geospatial Information Specialist
• Leadership roles - Broader analytical understanding – leading multi-disciplinary teams, leadership skills

Analytical Deputy Director or Director

Role Summary

As a Senior Civil Servant (SCS) working in the Analysis Function you will typically lead analytical programmes and teams, ensuring that robust analysis is influencing strategic decision-making. It is common for SCS analytical roles to require leadership of multi-disciplinary teams along with some non-analytical professions. There may be a requirement to hold a technical specialism in one of the analytical professions or have leadership experience outside of analysis for example as a leader of an operational or policy team.

Common behaviours have been scoped as part of the Career Framework to help you structure your career development to help achieve a role at SCS level.

Typical role responsibilities

• Champions and sets direction for major analytical workstreams ensuring they support the aims and objectives of the Department
• Ensures adherence to the Government Analysis Standard in line with cross government guidance and monitoring, with review and feedback mechanisms in place and used to best effect
• Ensures adequate assurance processes and controls are in place to produce high quality outputs and outcomes fit for purpose
• Leads analytical capability through setting direction, identifying future needs and embracing advancements seen in analysis across government
• Ensures that the best use is made of the multidisciplinary skills in their command
• Reviews the relevance of the current evidence base and creates space for analysis relevant to future departmental and government needs
• Promotes and ensures active contributions to the civil service analysis community
• Builds effective working relationships with relevant policy, delivery and analytical leaders, using robust analysis to influence decision making
• Creates, supports and role models a culture where honest, transparent, trusting and supportive behaviours are expected and within which differences of thought and outlook are valued

Skills

Technical – There may be a professional technical skill requirement depending on the nature of the role. For further information on technical skills refer to professional frameworks:

• Government Statistician Group
• Government Operational Research Service
• Government Social Research Service
• Government Economic Service
• Government Actuary’s Department
• Digital, Data and Technology capability framework

Analytical delivery – Holding a track record of delivery of analysis and experience of working with multidisciplinary teams in an analytical environment.

Recommended behaviours aligned to Level 5 and Level 6 of Success Profiles

• Leadership
• Seeing the Big Picture
• Making effective decisions
• Communicating and influencing
• Developing self and others
• Delivering at Pace (Resilience)
• Senior Civil Servants should be actively role modelling, endorsing and driving these behaviours.

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning

Expectation of experience

• Has strategic oversight of analytical work, ensuring it is fit for purpose, impactful and that priorities fit with departmental focus and pace
• Has ownership and accountability for appropriately high standard analytical outputs and quality assurance
• Builds effective working relations with policy and delivery directors, Ministers and with other analytical leaders to facilitate open dialogue, constructive challenge and to build mutual trust
• Strong communication skills, both verbal and written, demonstrated through the ability to convey complex information with clarity even when under political scrutiny
• Leads development of coherent and integrated analysis which reflects the contribution of each discipline, creates synergy and demonstrates excellent cross functional awareness
• Sets a learning culture for all staff, instilling professional integrity and high professional standards - encourages breadth and depth in analysis skills, including innovative methodologies and techniques, and effective engagement with external experts

Head of Profession

Role Summary

The role of the Head of Profession is to lead and champion analysis within Departments, acting as an ambassador of your particular profession, in addition to promoting the role of analysis to improve outcomes for the UK. The Head of Profession is responsible for representing the interests of analysts from one particular profession within their department on a range of issues such as pay, grading and ensuring analytical work adheres to the profession-specific guidance that makes up the Functional Standard for Analysis.

Please note this role is not usually a full-time position. In most cases, it is additional to a current role. In some cases, the role is shared between more than one person. It is not necessary for the departmental Head of Profession to be the most senior in the profession.

Typical role responsibilities

• Agree the strategy and plan for developing the analytical profession within a department. Help shape and deliver the work plan to build the profession, make active contributions to governance boards and set appropriate governance to develop the profession within Departments.
• Provide visible and thought leadership to the profession community. Role model positive behaviours and professional excellence. Be a trusted source for your profession, encouraging and engaging your community to be open to new ways of thinking. Make visible the expectations of experience needed to reach the most senior organisational leadership roles, so all individuals can map their career to gather leadership experiences.
• Build productive relationships with other key functions, professions and academia. Communicate key messages, drive communities/ events/ conferences to promote the sharing of knowledge among analysts in the Department and across government.
• Set standards for the profession with the Department to build analytical capability and capacity, including the provision of guidelines on training and professional development, and defining the appropriate competencies expected in the Department.
• Ensure appropriate systems and processes are in place to exercise a quality control function in respect of the Department’s work with professional technical content.
• Ensure the Department is able to recruit the right number and mix of analysts via the cross-government recruitment exercises or bespoke department campaigns, and that these staff are properly inducted.
• Oversee career development and talent management, including facilitating moves with the Department and promotion/badging exercises; holding career conversations, supporting development activity and providing and facilitating mentoring support.
• Act as an ambassador for professional programmes/schemes.
• Comply with the Functional Standard for Analysis including all supporting functional analytical standards, for example, Code of Practice Statistics, Magenta Book, Aqua Book and Green Book etc.
• Represent the interests of the Department’s analysts within the cross government Head of Profession group.
• Liaise with other Heads of Profession within the Department (particularly those representing other analytical specialisms).
• Ensure that analysts in their respective areas portray appropriate professional integrity when giving advice in their professional capacity, essentially giving unbiased advice based on the available evidence.
• All analysts within the Department have the right to approach the Head of Profession at any time if they feel that work produced by the Department does not appropriately incorporate technical advice; the Head of Profession is responsible for pursuing any necessary action at an appropriately senior level.

In addition to the role responsibilities highlighted for Departmental Heads of Profession, cross government Heads of Profession are required to:

Act as the chief professional advisor for their profession

Building effective and trusted relationships across government with senior stakeholders, demonstrating sound judgement and acting as a thought-leader and source of expertise in their field and respected by their sector as such.

Lead and develop their profession and contribute to the corporate leadership of the Civil Service

Creating a diverse and inclusive profession that is able to perform effectively to meet current and future demands successfully and work collaboratively across boundaries, alongside corporate leadership and the ability to work collaboratively across government and beyond.

Be accountable publicly for the work of their profession

Promoting the work of their profession publicly including at Select Committee, Public Accounts and other high-profile hearings, alongside strong financial management and confidence to speak truth to power.

Skills

Technical – There may be a professional technical skill requirement depending on the nature of the role. For further information on technical skills refer to professional frameworks:

• Government Statistician Group
• Government Operational Research Service
• Government Social Research Service
• Government Economic Service
• Government Actuary’s Department
• Digital, Data and Technology capability framework

Analytical delivery – Holding a track record of delivery of analysis and experience of working with multidisciplinary teams in an analytical environment.

Recommended behaviours

• Leadership
• Seeing the Big Picture
• Making effective decisions
• Communicating and influencing
• Developing Self and Others
• Delivering at Pace
• Senior Civil servants should be actively role modelling, endorsing and driving these behaviours.

Civil Service behaviours - PDF version

Civil Service behaviours - accessible Word version

Additional Learning