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# Data Insight Analyst

- **Company:** The Pensions Regulator
- **Location:** Brighton and Hove, United Kingdom
- **Experience:** Expert
- **Salary:** £53,143
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Warehousing, R (Programming Language), Python (Programming Language), Power BI, DataOps, SQL Databases, Tableau (Software), Git
- **Published:** November 8, 2026
- **Apply:** https://careers.thepensionsregulator.gov.uk/penreli_webrecruitment/wrd/run/etrec179gf.open?WVID=8167589cbU&LANG=USA&VACANCY_ID=724385B8te

## About the Role

* Thrives on turning complex information into clear, meaningful insights that help others make confident, evidence-based decisions.
 * Enjoys working collaboratively, building strong relationships and influencing through evidence.
 * Is naturally curious, proactive and motivated to spot opportunities for deeper analysis or improved understanding.
 * Takes pride in producing high quality, accurate work and feels comfortable owning responsibility.
 * Values continuous learning, staying up to date with new tools and techniques, and contributing to a culture of shared expertise.
 * Can use independent judgement to determine appropriate levels of analytical rigour relative to the task at hand.
 * Is able to work at pace whilst maintaining accuracy and attention to detail.

The role criteria

 * Expert proficiency in statistical and analytical software, including either R or Python - Skills in PowerBI, tableau and SQL are also advantageous.
 * Expert/practitioner knowledge of statistical modelling, time series analysis, and forecasting.
 * Expert experience of evaluating data sources for suitability, reliability & accuracy; and extracting data from complex data warehouses.
 * Practitioner level communication of complex analytics in a clear and accurate manner; translating this into business needs and explaining its relevance.
 * Strong knowledge and prior application of the UK Code for Official Statistics, and implementation of robust standards and quality assurance procedures in analytics.
 * Practitioner level knowledge of Git, AzureDevOps, and AGILE or Dev/DataOps workflow methodologies.

## Description

This role offers the chance to play a key part in shaping the future of pensions by turning complex evidence into clear insights that guide TPR's regulatory strategy, policy development and day to day decisions. You'll wrangle, analyse and interpret data, helping colleagues understand emerging risks, policy impacts and where to focus attention to protect savers. Working closely with teams across TPR, you'll produce a range of analytical outputs tailored to different audiences, ensuring evidence is accessible, meaningful and easy to act on. You'll bring expert skills in tools such as R, Python, and PowerBI while staying up to date with new analytical approaches across the regulatory and financial sectors. Collaboration, learning and continuous improvement are central to the role, with opportunities to deepen your technical expertise and contribute to shared understanding across the organisation. Through this work, you'll help ensure TPR's decisions are grounded in robust analysis and
focused on delivering better outcomes for millions of pension savers.

In addition, you will own and lead the production of a TPR official statistics publication, ensuring it meets the highest standards of quality and transparency. You will proactively identify areas where further analysis is needed, including evidence gaps, and share results, recommendations and proposed mitigations across TPR. You will also be responsible for the technical review and assurance of statistical and modelling work carried out by other analysts, ensuring accuracy, rigour and consistency.