Senior Data Analyst – HMRC - SEO
Government Digital & Data -
HMRC’s Risk and Intelligence Service (RIS) uses advanced analytics to protect public funds and help ensure the right tax is paid. If you enjoy solving complex problems, leading analytical work, and translating insight into action, this role is for you.
Why this role matters
Your work will directly support decisions that:
- strengthen compliance and reduce fraud
- protect essential public services
- improve how severe and complex risks are managed
You’ll be part of the Government Digital and Data community, and a forward‑thinking analytical environment where your work has real‑world impact.
What you’ll work on
RIS includes specialist teams such as:
- Compliance Operational Insight & Risking (COIR) – building risk profiles and analytical products
- Preventative Risking – disrupting fraud before it enters the system
- Offshore – offshore intelligence and risk identification
- Data & Risking Service – automated data services and bespoke analysis
- Large Business Data Analytics – identifying tax risks across large businesses
- Data Analytics Team (DAT) – analysis and insight across populations to support decision‑making
What you’ll be doing
As a Senior Data Analyst, you’ll:
- Lead analytical projects end‑to‑end (from defining the problem to delivering insight)
- Choose and assure the right analytical methods (statistics, modelling and coding approaches)
- Build reproducible, scalable analytical products (workflows, dashboards, models)
- Quality assure analysis and provide constructive feedback
- Embed good practice in data governance, documentation, testing and ethical use
- Present complex findings clearly to technical and non‑technical stakeholders
- Build strong relationships to shape the right questions and deliver meaningful impact
- Support and develop colleagues, strengthening analytical capability across the team
What we’re looking for
You’ll have experience in:
- Delivering high‑quality analysis using statistical/analytical techniques
- Communicating complex findings clearly, including in challenging discussions
- Managing data projects effectively (planning, adapting ways of working, stakeholder updates)
- Developing coded analysis solutions in Python, R or Base SAS (with testing and documentation)
- Applying good judgement around data quality, governance and ethics
Interested?
This partner post is a snapshot.
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