As a data analyst, you’ll work in a multidisciplinary Pioneer team—a place-based project with public sector partners to prototype solutions and policies aligned to government missions. You’ll be responsible for leading the team in all things data, analytics and research. You’ll choose the right analytical methodologies to understand the problem space and generate ideas. You’ll be responsible for conducting analysis of research, data, and information and clearly presenting it back to the team and wider stakeholders.

This role is mapped to the Data Analyst role in the Government Digital and Data framework, however we’re looking for some wider skills in quantitative research methods, theories of change and evaluation. We’re looking for someone who can bring digital and data skills to a policy environment and is excited about working on the ground alongside place-based partners.

This role will require travel within the UK to work closely with local partners.

Responsibilities

You will:
•    lead on data, analysis and insights in a multidisciplinary Pioneer team to deliver solutions with local partners, through test and learn cycles

•     lead efforts to identify, collect, and synthesise data sets and research

•    initiate and undertake complex and accurate analysis of data and research

•    summarise and present data and research analysis to your team and senior stakeholders, providing actionable insights and strategic recommendations

•    collaborate with stakeholders to gather requirements and deliver findings, working under the guidance of the Head of Analysis

•    work collaboratively with others and use analysis and research to influence others; for example, policy colleagues

•    embed evaluation ensuring your team’s work is grounded in evidence with measurable outcomes

•    advocate data governance and data management standards and guidelines within your team and local partner

•    contribute evidence to inform TL&G strategy, objectives and priorities

•    work in the open and share often

Additionally as a Senior Data Analyst you will:

•    employ advanced analytical techniques—such as data mining, time series analysis, forecasting, and modelling—to identify and predict trends across diverse, complex datasets.

•    lead on data, analysis and research in a team with a higher degree of uncertainty working out the best approaches for test and learn and evaluation for your area

•    line manage, coach and mentor data analysts

For further information on the role, please see the document attached at the bottom of the advert.

Analysis and synthesis
•    understand how to apply basic techniques for the analysis of research data and synthesis of findings

•    effectively involve your team in analysis and synthesis to generate clear and valuable findings

Communicating between the technical and non-technical
•    communicate effectively technical and non-technical stakeholders, and lead discussions within your team and with stakeholders that provide space for challenge to manage differing perspectives

Data management

•    understand how to develop processes to enable good data management practices and compliance with data governance policies

Logical and creative thinking

•    can ensure that the most appropriate actions are taken to resolve problems as they occur

Data quality assurance, validation and linkage

•    bring data together from different sources, communicate the limitations of data and peer review colleagues’ outputs to ensure quality

Agile and Lean practices

•    can apply agile practices to your work

Statistical methods and data analysis

•    understand how and when to practically apply existing best practice solutions

Inclusivity

•    support equity and inclusion for your delivery work as well as in your team

•    incorporate a wide variety of views from underrepresented groups into your research

Additionally as a Senior Data Analyst you will:

Analysis and synthesis
•    understand and help teams to apply a range of methods to analyse research data and synthesise findings

•    advise on the choice and application of techniques, and can critique colleagues’ findings to assure best practice

Data management
•    develop and advocate for processes to enable good data management practices and compliance with data governance policies

•    continually communicate and improve data management practices in your team and local partner

Statistical methods and data analysis

•    understand and apply a range of practices and apply emerging best practice to your work

It’s desirable that you have:

Behavioural science

•    working knowledge of theoretical concepts such as defaults, loss aversion and social norms

Further quantitative skills

•    predictive modelling, and/or qualitative research

Evaluation

•    understand the importance of evaluation and familiarity awareness of conducting evaluations in line with the Magenta Book

Additional information:

A minimum 60% of your working time should be spent at your principal workplace. Although requirements to attend other locations for official business will also count towards this level of attendance.

We’ll assess you against these behaviours during the selection process:

• Changing and Improving
• Making Effective Decisions
• Communicating and Influencing

We’ll assess you against these technical skills during the selection process:

• Analysis and Synthesis
• Communicating between the technical and non technical
• Data quality assurance, validation and linkage
• Logical and creative thinking
• Project management
• Statistic methods and data analysis

• Learning and development tailored to your role.
• An environment with flexible working options.
• A culture encouraging inclusion and diversity.
• A Civil Service Pension which provides an attractive pension, benefits for dependants and employer contributions of 28.97%.
• A minimum of 25 days of paid annual leave, increasing by one day per year up to a maximum of 30.