Reinsurance Data & Insights Analyst

Aviva plc; Greater London; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Competitive salary

Bonus opportunity

Pension up to 14%

29 days holiday + bank holidays

Private medical benefit

Aviva product discounts

Share matching & SAVE scheme

Parental & carer’s leave

Cycle to work

Volunteer days

Job summary

Aviva plc is seeking a Reinsurance Technician in London to focus on data analysis, trend spotting, and turning insights into action. You will work closely with underwriting, claims, finance, and risk teams to monitor performance and support decision-making.

The role emphasizes producing MI, maintaining data quality, investigating exceptions, and driving process improvements, with a strong emphasis on Excel proficiency and data interpretation.

Qualifications

• Experience working within the insurance or reinsurance market.
• Strong analytical skills with the ability to interpret, validate, and present data clearly.
• Advanced Excel skills, including pivot tables, data manipulation, and reporting.
• Experience producing management information, reporting, or performance analysis.
• Strong attention to detail and the ability to manage multiple priorities while building effective stakeholder relationships.

Responsibilities

• Produce management information and reporting.
• Maintain data quality and investigate data exceptions.
• Identify opportunities to improve processes.
• Support decision-making with operational insight across stakeholders.

Skills

Insurance/reinsurance experience

Analytical skills

Advanced Excel

MI reporting

Stakeholder management

Tools

Excel

Pivot tables

Job description

Aviva plc is seeking a Reinsurance Technician in London to focus on data analysis, trend spotting, and turning insights into action. You will work closely with underwriting, claims, finance, and risk teams to monitor performance and support decision-making.

The role emphasizes producing MI, maintaining data quality, investigating exceptions, and driving process improvements, with a strong emphasis on Excel proficiency and data interpretation.