Junior Reinsurance Data Analyst

October 27, 2026

Hybrid

Junior

London, United Kingdom

Indeed

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Mandatory office attendance
2 days per week

Description

Junior Data Analyst role in the Reinsurance Accounts team of a UK insurance brand, supporting delivery of accurate, reliable data and monthly reporting. The analyst prepares and validates large datasets, investigates data quality issues and contributes to improvements in reporting and operational processes. Work is hybrid, two days per week in the London office, and offers a route to develop technical and analytical expertise in reinsurance alongside experienced analysts.

Responsibilities

Prepare, analyse and validate reinsurance data to maintain accuracy, consistency and reliability
Deliver monthly reinsurance reporting within agreed timescales and produce clear analysis for senior stakeholders
Work with large and complex datasets containing more than one million rows and over 100 columns
Identify data quality issues, investigate their causes and support the resolution of process exceptions
Perform data validation, reconciliation and quality assurance checks to protect reporting integrity
Maintain clear documentation and audit trails across data processes, controls and reporting activities
Use Excel and analytical tools such as SQL, Python or R to query, manipulate and analyse data
Work with internal teams to support effective data handling and strengthen reporting processes
Identify opportunities to automate manual activity, streamline workflows and improve existing data processes
Build knowledge of reinsurance data, systems and reporting while contributing to small projects and team initiatives

Requirements

Bachelor’s degree or equivalent qualification
Up to one year of experience in a data analysis, reporting or similar analytical role
Strong analytical and problem-solving skills with excellent attention to detail
Practical Excel capability, including PivotTables, lookups and data analysis functions
Working knowledge of SQL, Python and/or R for data analysis, automation and data manipulation
Experience working with large datasets and completing data validation, reconciliation and quality assurance activities
Clear communication skills and the ability to work effectively with technical and non-technical stakeholders
A technical degree or previous experience within insurance, reinsurance, actuarial or financial services would be advantageous