Junior Reinsurance Data Analyst
Vitality
Overview
In this role, you will support the Reinsurance Accounts team by ensuring accurate, reliable data and monthly reporting. You’ll prepare and validate large datasets, detect data quality issues, and help improve reporting and processes. You will develop your technical and analytical skills within reinsurance while collaborating with experienced analysts and internal stakeholders. This is an opportunity to contribute to data-driven decision making in a purpose-led, health-focused insurance group.
Pay / Benefits- Bonus schemes
- Pension up to 12% with 6% employer match
- Vitality health insurance
- Life Assurance four times annual salary
- Competitive salary and benefits
- Flexible working arrangements
- Prepare, analyse and validate reinsurance data to ensure accuracy and reliability across processes
- Deliver monthly reinsurance reporting within deadlines and provide clear analysis for senior stakeholders
- Work with large datasets (over 1M rows and 100+ columns)
- Identify data quality issues, investigate causes and support resolution of process exceptions
- Perform data validation, reconciliation and QA checks to protect reporting integrity
- Maintain documentation and audit trails across data processes and reporting activities
- Use Excel and tools such as SQL, Python or R to query, manipulate and analyse data
- Collaborate with internal teams to improve data handling and reporting processes
- Identify opportunities to automate manual activities and streamline workflows
- Build knowledge of reinsurance data, systems and reporting and contribute to small projects
- Bachelor’s degree or equivalent qualification
- Up to one year of experience in data analysis, reporting or similar role
- Strong analytical and problem-solving skills with high attention to detail
- Practical Excel capability including PivotTables, lookups and data analysis functions
- Working knowledge of SQL, Python and/or R for data analysis and automation
- Experience with large datasets and data validation/reconciliation/QA
- Clear communication skills with both technical and non-technical stakeholders
- Technical degree and prior experience in insurance/reinsurance/financial services would be advantageous
- Clear communication
- Attention to detail
- Problem-solving
- Excel (PivotTables, lookups)
- SQL
- Python or R
Reference: WJ-747_31165566