We are looking for a highly capable Data Analyst to join our policy research team. You will source, clean, and analyse data to produce compelling visualisations and written output that supports our wider research programme. The ideal candidate combines quantitative rigour with the instincts of a data journalist: meticulous about sources, able to spot a story in the numbers, and genuinely engaged with UK public policy. Critically, you will be expected to integrate AI tools natively into your workflow - not as a shortcut, but as a means of working faster and more rigorously.

Key Responsibilities
- Navigate national statistical sources (ONS, government live tables, administrative datasets) to identify and extract the most appropriate data for specific policy questions. Digitise data from unstructured formats such as PDFs where necessary.
- Produce clear, publication-quality charts and concise written analyses - typically 500-word summaries or short-form social content - that surface the key narrative within the data.
- Build and maintain a shared internal data library, including cleaning pipelines and ETL processes that keep the team's datasets current and accessible.
- Conduct foundational statistical analysis (including regression analysis) to support ongoing projects, with a clear understanding of data limitations and appropriate caveats.
- Use AI tools proactively to accelerate coding, data extraction, and analysis, while exercising independent judgement to validate outputs.

Core requirements:
- Strong quantitative and statistical literacy - able to spot anomalies, understand data methodologies, and know what a result does and does not show
- Programming ability in at least one language (Python preferred; Stata or R acceptable, with willingness to transition with AI assistance)
- AI-native working style: willingness to integrate AI (including AI coding tools) into daily analytical tasks
- Meticulous about sourcing - citations, methodology, and data quality
- Genuine interest in UK public policy and economics