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Junior Data Analyst Apprenticeship

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hannover Rückversicherung AG
Apprenticeship/Internship position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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 Solutions that worked yesterday may be outdated tomorrow.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, Power

    BI 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).
  • 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.
  • 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…

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