At a Glance
- Tasks: Support the Data Management team with data operations, analysis, and project support.
- Company: Join Hannover Re UK, a global leader in reinsurance with a collaborative culture.
- Benefits: Enjoy health initiatives, professional development, and a supportive work environment.
- Other info: Embrace innovation and drive change in a team-focused atmosphere.
- Why this job: Gain hands-on experience while learning SQL, PowerBI, and Databricks in a dynamic setting.
- Qualifications: Level 3 qualifications or relevant work experience; STEM subjects preferred.
The predicted salary is between 18000 - 25000 € per year.
Starting in September 2026, this 3-year apprenticeship role will support the Data Management team in delivering high-quality data operations, analysis, documentation, and project support for the UK Life Branch. The role develops practical skills in data analysis, engineering concepts, and translating business requirements into technical outputs. The apprentice will support the team while undertaking the Kaplan Level 4 Data Analyst apprenticeship.
The Apprenticeship Aims
- Gains a clear understanding of UK Life Reinsurance data, systems, and processes.
- Develops practical analytical and coding capability using SQL, PowerBI and Databricks.
- Learns to translate requirements into well-structured technical outputs.
- Contributes effectively to data quality, reporting, and operational processes.
Duties & Responsibilities
- Project & Development Support
- Work with the Data Management team to deliver on key projects for the UK Branch, including:
- Data Onboarding and Processing System Upgrade – contribute to the programme by helping define technical requirements and the coding and testing of these in the solution.
- Data Quality and Reporting Improvement – support development of validation rules, data quality measures, and management reporting.
- Core Data Repository Extension – contribute to extending datasets, building metrics, and producing analytics.
- Assist in documenting functional and technical requirements for project deliverables.
- Participate in design discussions to understand solution architecture and contribute insights.
- Data Quality, Analysis & BAU Activities
- Perform standard data checks, logging issues and tracking resolution progress.
- Assist with ingestion, validation, and processing core data sets.
- Prepare basic reports, data extracts, and checks for actuarial and reporting teams.
- Documentation, Governance & Controls
- Follow best practice for data handling, quality controls, and security.
- Help document technical and business requirements.
- Produce and maintain process documentation, data flow diagrams, and runbooks.
About You
Qualifications Required
- One of the following: Level 3 qualifications (A-Levels, BTEC, or equivalent) to ideally include a STEM subject.
- 12 months of work experience in the last 24 months in a relevant role.
- Level 3 apprenticeship.
Experience
- Proficient in Microsoft Office applications (in particular Excel using pivot tables and XLookup).
Skills
- Technical skills
- Strong problem-solving mindset with interest in developing technical solutions.
- Basic understanding of SQL, with willingness to develop intermediate capability.
- Interest in learning Databricks, Python and/or R (no prior experience required).
- Awareness of data structures, data flows, and analytical concepts, with an interest in applying them in practice.
- Basic understanding of sourcing, cleaning, analysis, and visualisation of data.
- Behavioural Skills
- Stakeholder focus with clear communication.
- Ability to explain findings to non-technical audiences.
- Team oriented with strong collaboration skills.
- Proactive approach to learning and continuous improvement.
- Strong organisational skills and attention to detail.
- Knowledge areas
- Awareness of KPIs, metrics, and basic business logic used in analytical work.
- Awareness of data governance, data protection, and ethical data handling principles.
- Interest in reinsurance or financial services (desirable).
- Interest in coding, analytics, or data driven problem solving.
Person Specification
- Communicating and Influencing: Excellent negotiation skills and demonstrated capacity to influence decisions and manage relationships with key stakeholders both in HLRUK (Senior Management team) and across the Group. Adapts communication style depending on audience.
- Problem solving: Ability to break down complex issues and identify trends, patterns and interdependencies. Pragmatic approach to assessing risks when developing solutions.
- Delivery and Accountability: Accountable for individual and team deliveries to support the overall Branch objectives. Creates an environment where challenge is expected and encouraged and holds individuals accountable for same. Efficient and responsive ensuring deadlines are met.
- Innovation and Continuous Improvement: Creates an environment where new ideas and solutions are encouraged. Continuously strives for process improvement.
- Developing Capability and Knowledge Sharing: Actively develops and enables the team acting as a role model and mentor.
- Customer Focus: Develops a deep understanding of the complexities of the customer business in order to implement ideas and technical expertise. Ensures that customer feedback is actioned and customer satisfaction maintained.
- Team Player: Focuses on building and maintaining a positive team culture and developing cross-functional relationships. Embraces diversity of thought, ideas and skills to engage the team and deliver objectives.
Life At Hannover Re UK
- Atmosphere: Work in a global team that values innovation, agile decision-making and mutual respect. We challenge convention, encourage open feedback and foster a community where everyone’s voice matters.
- Benefits: From structured onboarding to a comprehensive range of benefits, we invest in your well-being every step of the way. Our offerings include health and wellness initiatives, personal and professional development opportunities and a support system designed to help you thrive in all aspects of your growth and daily life.
- Prospects: Bring your expertise and curiosity – here, you'll have the space to drive change and own your ideas. We’ll keep you engaged with fresh challenges, mentorship, skill-building opportunities and the freedom to shape your path.
Please submit your application by Friday 12 June 2026.
Junior Data Analyst, 3150 in London employer: Hannover Re
Hannover Re UK is an exceptional employer that fosters a collaborative and innovative work culture, where every team member's voice is valued. With a strong commitment to employee well-being, we offer comprehensive benefits, structured onboarding, and ample opportunities for personal and professional development. As a Junior Data Analyst apprentice, you will gain hands-on experience while being supported in your growth, ensuring a meaningful and rewarding career path in the dynamic field of data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst, 3150 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your analytical abilities, especially using SQL or PowerBI. This will give potential employers a tangible sense of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior Data Analyst, 3150 in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the Junior Data Analyst role. We want to see how you can contribute to our Data Management team!
Show Off Your Skills:Don’t hold back on showcasing your technical skills, especially in SQL and Excel. If you've dabbled in Databricks or Python, mention that too! We love seeing a proactive approach to learning.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and how they relate to the job. Remember, we appreciate good communication!
Apply Through Our Website:For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to review your details and get you into the process!
How to prepare for a job interview at Hannover Re
✨Know Your Data Basics
Before the interview, brush up on your understanding of data structures and flows. Familiarise yourself with SQL basics, as well as any tools mentioned in the job description like PowerBI and Databricks. This will show that you're proactive and ready to dive into the technical aspects of the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Think of examples where you've tackled complex issues or identified trends. Practising how to articulate your thought process will help you demonstrate your analytical mindset effectively.
✨Show Your Team Spirit
This role emphasises collaboration, so be ready to discuss your experiences working in teams. Share specific examples of how you've contributed to team success and how you handle differing opinions. Highlighting your ability to communicate clearly with both technical and non-technical audiences will set you apart.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Inquire about the team's current projects or how they measure success in data quality. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
