Junior Data Analyst Apprenticeship

Junior Data Analyst Apprenticeship

Apprenticeship 18000 - 25000 £ / year (est.) No working from home possible
Hannover Rückversicherung AG

At a Glance

  • Tasks: Support the Data Management team with data operations, analysis, and project support.
  • Company: Join Hannover Re, a leading global reinsurer with a collaborative culture.
  • Benefits: Enjoy health initiatives, professional development, and a supportive work environment.
  • Other info: Dynamic global team with opportunities for growth and innovation.
  • Why this job: Gain hands-on experience in data analysis and coding while making a real impact.
  • Qualifications: Level 3 qualifications or relevant work experience; interest in data and analytics.

The predicted salary is between 18000 - 25000 £ per year.

Hannover Re - with around 4,000 employees at locations all over the world. Our strength? Connecting Power: We rely on each other. As a reinsurer, we protect customers in the event of a claim. This requires customised, innovative solutions. Solutions that worked yesterday may be outdated tomorrow. We challenge ourselves and continuously optimise our services, advice and products. All this makes us one of the leading and most profitable reinsurance groups in the world and a reliable employer.

The Role: 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 role offers hands‑on experience with structured learning and development support. The apprenticeship aims to ensure the candidate:

  • 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. These would include:

  • 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).
  • Aware 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.
  • 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
  • Aware of KPIs, metrics, and basic business logic used in analytical work.
  • Aware 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.

Junior Data Analyst Apprenticeship employer: Hannover Rückversicherung AG

Hannover Re is an exceptional employer that fosters a collaborative and innovative work culture, where every employee's voice is valued. With a strong commitment to personal and professional development, the Junior Data Analyst Apprenticeship offers hands-on experience in data analysis within a supportive environment, ensuring you gain vital skills while contributing to meaningful projects. Located in the UK, this apprenticeship not only provides a comprehensive benefits package but also encourages continuous learning and growth, making it an ideal place for aspiring data professionals.

Hannover Rückversicherung AG

Contact Details:

Hannover Rückversicherung AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Analyst Apprenticeship

Tip Number 1

Network like a pro! Reach out to current employees at Hannover Re on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your SQL and data analysis skills. We should be ready to discuss how we can contribute to projects like data quality improvements and reporting enhancements.

Tip Number 3

Show off our problem-solving mindset! Be ready to share examples of how we've tackled challenges in the past, especially if they relate to data handling or analysis. It’s all about demonstrating our proactive approach.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team at Hannover Re.

We think you need these skills to ace Junior Data Analyst Apprenticeship

Data Analysis
SQL
PowerBI
Databricks
Python
R
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Junior Data Analyst Apprenticeship. Highlight your relevant skills, especially in data analysis and any experience with SQL or Excel. We want to see how you connect with our mission at Hannover Re!

Show Your Passion for Data:In your application, let us know why you're excited about data analysis and reinsurance. Share any projects or experiences that sparked your interest in this field. We love seeing candidates who are genuinely enthusiastic about learning and growing with us.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and skills. Remember, we appreciate good communication, especially when it comes to explaining complex ideas simply!

Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the role and our company there.

How to prepare for a job interview at Hannover Rückversicherung AG

Know Your Data Basics

Brush up on your understanding of data structures, flows, and analytical concepts. Since this role involves SQL and data analysis, being able to discuss these topics confidently will show your enthusiasm and readiness to learn.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex issues in the past. Whether it's a project from school or a personal challenge, demonstrating your problem-solving mindset will resonate well with the interviewers.

Communicate Clearly

Practice explaining technical concepts in simple terms. This role requires you to communicate findings to non-technical audiences, so being able to articulate your thoughts clearly will be a big plus.

Demonstrate Team Spirit

Be ready to discuss your experiences working in teams. Highlight how you’ve collaborated with others, embraced diverse ideas, and contributed to a positive team culture. This aligns perfectly with the values of Hannover Re.