Data Analyst - HMRC - HEO
Government Digital & Data -
Location
Belfast, Birmingham, Cardiff, Croydon, Glasgow, Leeds, Liverpool, Manchester, Newcastle-upon-Tyne, Nottingham
About the job
Job summary
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As a Data Analyst in HMRC’s Risk and Intelligence Service (RIS), you will play a pivotal role in the UK government’s digital transformation journey. You will harness analytical techniques and technologies to help shape HMRC’s approach to risk and compliance, ensuring the right tax is paid and safeguarding public funds.
You’ll be part of the Government Digital and Data community, a collective of over 28,000 professionals transforming lives through technology. Your work will have real-world impact, enabling data-driven decisions that support citizens and contribute to a fairer and more efficient tax system.
We are looking for someone with a passion for analysis, an understanding of data’s potential, and be able to deliver in a fast-paced, collaborative environment. This is your opportunity to join a forward-thinking, expert community and make a lasting difference..
Job description
HMRC's Risk and Intelligence Service (RIS) are looking for people with the experience and skills to join us as a Data Analyst. You can look forward to a training programme tailored to your needs, the support of a mentor and excellent potential for career development. Our collaborative and ambitious environment will enable you to make a real difference in transforming lives through technology. You will be part of a team that uses data to deepen our understanding of how to ensure the right tax is paid, working with some of the most complex and comprehensive data in the country.
About the Risk & Intelligence Service (RIS)
Risk and Intelligence Service (RIS) plays a vital role in HMRC’s compliance and enforcement strategy. We collect, integrate, and analyse one of the most extensive and diverse data landscapes in the world, enabling HMRC to identify and manage risks related to non-compliance across the UK tax system.
As a Data Analyst in RIS, you’ll be part of a team that leverages complex, large-scale data to generate actionable insights. Your work will directly support our mission to ensure the right tax is paid, using cutting-edge analytical approaches to protect public funds and improve outcomes for society.
- RIS Data Analytics Team (DAT): RIS DAT leverages advanced data analysis and data science techniques to support HMRC's strategic decision-making and operational efficiency. They work with complex datasets to uncover insights, streamline processes, and optimise outcomes.
- RIS Compliance Operational Insight & Risking (COIR): COIR focuses on providing analytical products, tools, and services to support HMRC's compliance efforts. They work on various projects to enhance risk identification and management, ensuring effective compliance strategies.
- RIS Preventative Risking: RIS Preventative Risking identifies, prevents, and disrupts fraudulent registrations and repayment claims, ensuring HMRC responds effectively to attacks. Potential non-compliance by legitimate customers is identified, and high-risk repayments are referred to compliance partners for intervention, improving future compliance.
- RIS Offshore: RIS Offshore serves as HMRC's coordination centre for offshore intelligence, data acquisition, risk identification, and case development. They support the No Safe Havens strategy by broadening and increasing the impact on offshore customer groups and behaviours.
- Large Business Data Analytics: The Large Business Data Analytics (LBDA) team provides data analytical services to identify tax risks and support compliance activities across large businesses. They work at national, regional, and local levels to deliver data-driven insights and risk analysis.
Key Responsibilities
As a Data Analyst in RIS, you’ll be part of a team that leverages complex, large-scale data to generate actionable insights. Your work will directly support our mission to ensure the right tax is paid, using cutting-edge analytical approaches to protect public funds and improve outcomes for society.
- Utilise a range of software tools to analyse and interpret data, deriving actionable conclusions and recommendations.
- Explore innovative opportunities by evaluating various options, impacts, risks, and solutions, ensuring transparent problem definitions and promoting the effective use of data and technology.
- Collaborate with stakeholders to define and clarify the overall scope and requirements of analytical tasks.
- Identify and share best practices, continuously reviewing business processes to proactively enhance insights and improve the products and services provided.
- Summarise and present data and conclusions in the most appropriate formats for the intended audience, ensuring clarity and accessibility.
Your work will contribute directly to protecting public revenue and ensuring fairness in the tax system, making a meaningful impact on people’s lives across the UK.
Person specification
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 and desirable criteria for this role are aligned with the GDAD capability framework, which you can read more about here.
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.
Essential Criteria
To be considered for this role, your application must demonstrate evidence of all the following essential criteria:
- . Analysis and Synthesis: You can use software to manipulate and analyse data. For instance, you can merge, analyse, and consolidate data using tools like Excel, employing pivot tables, functions, and charts.
- Communication: You can demonstrate good verbal and written communication skills, effectively sharing insights with both technical and non-technical audiences.
- Data Quality Assurance, Validation, and Linkage: You can identify effective methods for collecting, collating, and preparing data, and determine whether it is accurate and fit for purpose.
- Logical and Creative Thinking: You can apply both logic and creativity to solve problems.
- Analysis and Synthesis: You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python
- Desirable Criteria
To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates:
- IT and mathematics: You can demonstrate IT or mathematical skills through relevant qualifications or work experience
- Membership of a recognised analytical profession (e.g. GDAD, GES, GSR, GORS) or the Statistical community (e.g. GSS, GSG).
Technical skills
We'll assess you against these technical skills during the selection process:
- You will be asked to undertake a Technical analytical exercise (full details will be provided if you are shortlisted)
Technical skills
We'll assess you against these technical skills during the selection process:
- You will be asked to undertake a Technical analytical exercise (full details will be provided if you are shortlisted)
