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- Tasks: Lead analytical projects and deliver insights to protect public funds.
- Company: Join HMRC’s Risk and Intelligence Service, making a real-world impact.
- Benefits: Competitive salary, career development, and the chance to work on meaningful projects.
- Other info: Be part of a forward-thinking team with excellent growth opportunities.
- Why this job: Use your analytical skills to combat fraud and strengthen compliance.
- Qualifications: Experience in statistical analysis and coding in Python, R, or Base SAS.
The predicted salary is between 40000 - 50000 £ per year.
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:
- 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:
- 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:
- 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:
- 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. Click through to the full Civil Service Jobs advert to view location details, full requirements and apply.
Senior Data Analyst – HMRC - SEO in Manchester employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – HMRC - SEO in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at HMRC on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common analytical scenarios. Think about how you’d tackle complex problems and present your findings. We want you to shine when it comes to showcasing your skills!
✨Tip Number 3
Show off your analytical projects! Bring examples of your work to the interview. Whether it’s dashboards, models, or reports, having tangible evidence of your skills can set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who want to make a real impact in data analytics.
We think you need these skills to ace Senior Data Analyst – HMRC - SEO in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with analytical projects and data governance. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to tackle complex problems and deliver insights. We love candidates who can demonstrate their analytical thinking and how they’ve used it to make a real impact in previous roles.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experience and avoid jargon unless necessary. We appreciate candidates who can communicate complex findings simply, especially since you’ll be presenting to both technical and non-technical stakeholders.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at Manchester Digital
✨Know Your Analytics Inside Out
Make sure you brush up on your statistical and analytical techniques. Be ready to discuss specific methods you've used in past projects, especially in Python, R, or Base SAS. This will show that you can deliver high-quality analysis and are comfortable with the tools required for the role.
✨Prepare for Complex Problem-Solving
Since this role involves solving complex problems, think of examples from your previous work where you led analytical projects from start to finish. Be prepared to explain how you defined the problem, chose the right methods, and delivered actionable insights.
✨Communicate Clearly and Confidently
Practice presenting your findings in a way that’s easy to understand for both technical and non-technical stakeholders. You might be asked to explain complex concepts during the interview, so clarity is key. Use simple language and avoid jargon where possible.
✨Showcase Your Teamwork Skills
This position requires building strong relationships and supporting colleagues. Think of examples where you’ve collaborated effectively in a team setting, helped develop others, or contributed to a positive team environment. Highlighting these experiences will demonstrate your ability to strengthen analytical capability across the team.