At a Glance
- Tasks: Lead data analysis projects and mentor junior analysts using cutting-edge tools.
- Company: Join HMRC's Customer Compliance Group, a major player in tax compliance with 26,000+ employees.
- Benefits: Enjoy a supportive work environment and opportunities for professional development.
- Why this job: Work with one of the largest data platforms in the UK and make a real impact on tax compliance.
- Qualifications: Experience in data analysis, project management, and mentoring is essential; programming skills are a plus.
- Other info: SC level security clearance required; must have 5 years UK residency.
The predicted salary is between 43200 - 72000 £ per year.
To apply direct for this role please can you visit civil service jobs About Customer Compliance Group: Customer Compliance Group (CCG) ensures that HMRC successfully collects the full and accurate amount of money due from taxpayers, investigates offences against the tax system and takes action to identify and mitigate potential threats. CCG is the largest business group in HMRC, with over 26,000 people working in this area. About Risk Intelligence Services: HMRC’s Risk and Intelligence Service (RIS) collects, integrates and analyses one of the largest and most diverse range of data and intelligence in the world. This enables HMRC to understand and manage risks associated with non-compliance with the UK tax system. We invest in and support the development of our people, their skills, and tools, fostering a supportive, professional, and respectful working environment. Job description As a Senior Data Analyst, you will have access to one of the biggest data platforms in UK government. Our Senior Data Analysts demonstrate high levels of experience and ability when using a range of cutting-edge analytical tools and software, manipulating complex datasets to develop insight and risk. You will lead on our technical standards of analysis and are responsible for the quality of our analytical products, ensuring standards are upheld and improved. Youll provide leadership and guidance on big projects and support our data analysts on complex profiles, encouraging delivery through others and seeking new and innovative ways of working. Important candidate information SC level security clearance is required – the successful candidate can apply for this when they join but appointment is conditional on obtaining this. Candidates will need to meet the minimum UK residency period as determined by the level of security vetting being undertaken, which for SC is 5 years UK residency prior to your vetting application. If you do not have a minimum of 5 years consecutive residency in the UK, then your application will be rejected. Successful applicants will be required to obtain SC clearance prior to their start date. Person specification Key Responsibilities: Use new tools and techniques to develop your expertise for manipulating large datasets, including a range of taxpayer, government, public and commercially available information. Initiate and undertake complex and accurate analysis. Train and mentor, our data analysts, building their confidence and capability. Review, advise and support more junior members, and establish processes, standards and templates for others to follow, improving the efficiency and quality of visualisations. Build capability within our analytical community, developing effective and efficient working processes which encourages our people to flourish. Advocate data governance and data management standards and guidelines within your teams products and services. Essential Criteria Analysis and synthesis You are able to understand and help teams to apply a range of methods to analyse research data and synthesise findings. Communication You can demonstrate supporting or hosting difficult discussions within the team or with diverse senior stakeholders. Data management You have experience of developing processes to enable good data management practices and compliance with data governance policies. Data modelling, cleansing and enrichment – You will ensure data for analysis meets data quality standards and is interoperable with other data sets, enabling reuse and work with other data professionals to improve modelling and integration patterns and standards. Logical and creative thinking You are able to ensure that the most appropriate actions are taken to resolve problems as they occur. Project management You will share knowledge and experience of project management methodologies with others, including tools and techniques. Leadership – You have proven experience of leading and/or mentoring others through project work or professional development activities. Desirable Criteria Experience of data analysis or data science using a programming language for example, R, Python, SQL or SAS. Overview of selection process : After submission of the first stage of your application, you will be invited to complete a?Civil Service Numerical Test.?If you successfully pass the test, you will be invited to complete the final stage of the application.
Senior Data Analyst employer: H M Revenue & Customs (HMRC)
Contact Detail:
H M Revenue & Customs (HMRC) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific analytical tools and software mentioned in the job description. Being able to demonstrate your proficiency in these tools during the interview will set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with data governance and management standards. Be prepared to discuss how you've implemented these practices in previous roles, as this is a key responsibility of the position.
✨Tip Number 3
Showcase your leadership and mentoring skills by providing examples of how you've supported junior analysts or team members in the past. This will demonstrate your ability to build capability within the analytical community.
✨Tip Number 4
Prepare for the Civil Service Numerical Test by practicing similar assessments online. This will help you feel more confident and perform better when you take the test as part of the selection process.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Analyst position. Familiarize yourself with the key responsibilities and essential criteria outlined in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your expertise in data analysis, project management, and leadership, as well as any experience with programming languages like R, Python, SQL, or SAS.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data analysis and your understanding of the role. Use specific examples from your past experiences to demonstrate how you meet the essential and desirable criteria.
Prepare for the Numerical Test: Since passing the Civil Service Numerical Test is part of the selection process, practice relevant numerical reasoning questions beforehand. This will help you feel more confident and prepared when you take the test.
How to prepare for a job interview at H M Revenue & Customs (HMRC)
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've manipulated large datasets in the past. Highlight your experience with analytical tools and techniques, and be ready to explain your thought process when tackling complex analyses.
✨Demonstrate Leadership Experience
Since this role involves mentoring and leading other analysts, share instances where you've successfully guided a team or individual. Discuss how you fostered their development and improved their capabilities.
✨Communicate Effectively
Practice articulating your ideas clearly, especially when discussing technical concepts. Be ready to engage in discussions about data governance and management standards, as well as how you've navigated difficult conversations with stakeholders.
✨Prepare for Technical Questions
Expect questions related to data management practices, data quality standards, and your experience with programming languages like R, Python, SQL, or SAS. Brush up on these topics and be ready to provide detailed explanations or examples.