Apply before 11:55 pm on Friday 19th June 2026
External applicants will join on the pay band minimum
Civil Service Pension with an employer contribution of 28.97
Location
Belfast, Birmingham, Bristol, Cardiff, Glasgow, Leeds, Liverpool, Manchester, Newcastle-upon-Tyne, Nottingham
About the Risk & Intelligence Service (RIS)
RIS includes a range of specialist teams you could join, each using advanced analytics to solve high impact problems:
- Data Analytics Team (DAT): Provides analysis and insight across all populations to identify risks and enable decision making across HMRC
- Compliance Operational Insight & Risking (COIR): Design and delivers high risk taxpayer profiles, analytical risk-based products and provides operational data insights to help strengthen HMRC’s compliance strategies.
- Preventative Risking: Identifies, prevents and disrupts fraudulent activity before it enters the system by presenting clear well considered time-sensitive risking decisions, protecting against attacks and high-risk repayment claims
- Offshore: Serves as HMRC’s coordination centre for offshore intelligence, data acquisition, risk identification and case development supporting No Safe Havens
- Data and Risking: Maintains and enhances Connect and Data Quality Services, delivering automated data and bespoke analysis to support analysts, caseworkers and wider business needs.
- RIS Analysis – Large Business National Compliance: Provide data analytical services to identify tax risks across large businesses at national and regional levels. As a Data Analyst in RIS, you’ll be part of a team that leverages complex, large‑scale data to generate actionable insights.
Key Responsibilities:
- Delivering analytical work to support operational and strategic decision making, working to defined approaches and quality standards.
- Applying appropriate analytical and statistical techniques to explore data, identify patterns and produce clear, evidence based insights.
- Developing and maintaining reproducible analytical products such as code, queries, dashboards or models, with support where needed.
- Working with others to ensure data quality, documentation, testing and ethical use of data are embedded in analytical outputs.
- Communicating findings clearly to a range of audiences, with support to structure messages and tailor insight to stakeholder needs.
- Collaborating with colleagues and stakeholders to understand analytical requirements, support project planning and delivery, and ensure work meets business needs.
- Contributing positively to a collaborative team environment, sharing learning and engaging with development opportunities.
Data Analyst Training Programme
You will be expected to complete HMRC’s internal Data Analyst Training Programme (DATP) which is designed to help you build confidence and capability in the core skills needed for analytical roles. Throughout the programme, you’ll take part in modular and work‑based assessments aligned to the Profession framework, giving you regular opportunities to reflect on your progress and identify areas for development. You’ll be supported throughout your journey by your manager, our dedicated learning team and business‑based coaches and mentors known as Practical Training Officers (PTOs). We also encourage participants to self‑assess their performance and seek support whenever needed to help them get the most from the programme. The DATP includes several multiday courses delivered in specialist training suites, and you may be asked to travel and stay for up to four days at a time. HMRC will cover travel and subsistence costs. If you’ve completed this programme before (or previous iterations such as the STP), you don’t need to do it again. Failure to successfully complete the training programme may result in you not being retained in a Data Analyst role. Whilst every effort will be made to identify a suitable alternative position, this cannot be guaranteed.
Join us on a webinar
To find out more about the role and the application process, you can join a 30‑minute webinar session via Microsoft Teams. There will be a short Q&A session at the end. These will take place on: Thursday 11th June at 2pm, Tuesday 16th June at 6pm.
Person specification
This role offers unparalleled variety and scope, with opportunities to work on meaningful projects, solve complex problems, and apply your expertise to real‑world challenges. You’ll collaborate with colleagues across HMRC and other government departments, contributing to a joined‑up, data‑driven approach to public service delivery.
As part of a supportive and forward‑thinking profession, you’ll also benefit from ongoing learning and development, access to professional networks, and opportunities to grow your career in a culture that values innovation, inclusion, and continuous improvement.
You will bring:
- Experience of contributing to analytical work using a structured approach to problem solving.
- Ability to apply analytical tools and techniques to analyse data and generate well‑evidenced insights.
- An understanding of data quality, governance and ethical considerations, and how these apply to analytical work.
- The ability to explain analysis clearly and appropriately to different audiences, with support where required.
- Experience of working with analytical tools such as Python, R, SQL, SAS or similar to analyse data.
- A collaborative approach, with a willingness to learn from others and share good practice.
- An awareness of inclusive design and accessibility when presenting analysis and insight.
Data Analysts in the Civil Service are part of the Government Digital and Data (GDAD) profession – a community of experts driving digital transformation across government. The Essential Criteria for this role are aligned with the GDAD Capability Framework: Data analyst – Government Digital and Data Profession Capability Framework. Please note: Security Check (SC) clearance level, either already held or willing to obtain, is a requirement of this role. Please see Additional Security Information and Security sections below.
To be considered for this role, your application must demonstrate evidence of all the following:
Applying statistical and analytical tools and techniques:
Ability to deliver high quality statistical and analytical insights and reports, applying a range of analytical techniques and tools. Follow good quality assurance practices and engage with stakeholders to clearly communicate analysis.
Communicating between the technical and non-technical:
You can demonstrate excellent communication skills, effectively sharing insights with both technical and non-technical audiences.
Managing a Data Project:
You can support the identification of business problems, planning and delivering work effectively, communicating with your team and adapt ways of working to meet different project outcomes by using appropriate project management methodologies.
Developing code for analysis:
You can design and develop coded solutions using Python, R or Base SAS that meet defined standards and testing requirements. Apply coding best practices to review and improve your code and produce clear documentation that explains analytical design decisions and how the solution has been implemented.
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