Claims Data Product Owner — Hybrid, Tunbridge Wells

Automobile Association; Tunbridge Wells; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading UK service organization is seeking a Claims Data Product Owner in Tunbridge Wells with a hybrid work model. The successful candidate will leverage strong analytical skills to provide insights that drive business growth within the claims sector. Responsibilities include developing analytical approaches, managing data visualization, and presenting findings to senior leadership. A minimum of senior-level experience in business analysis is essential, along with proficiency in data tools like Excel, SQL, and Power BI. The role offers excellent benefits and a collaborative team environment.

Benefits

Free AA breakdown membership

25 days annual leave plus bank holidays

24/7 remote GP service

Pension scheme available up to 7% contribution

Access to the EV discount scheme

Qualifications

• Senior-level experience in commercial, business analysis, and insight roles.
• Strong analytical skills with the ability to interpret complex data.
• Proficiency in data and visualisation tools and software.
• Excellent communication and presentation skills.

Responsibilities

• Developing and implementing advanced analytical approaches.
• Analysing claims and reserve data to identify trends.
• Building and maintaining interactive dashboards.
• Presenting findings to senior leadership.

Skills

Data analysis

Operational processes

Commercial business acumen

Presentation skills

Influencing stakeholders

Tools

Excel

SQL

Power BI

Job description

A leading UK service organization is seeking a Claims Data Product Owner in Tunbridge Wells with a hybrid work model. The successful candidate will leverage strong analytical skills to provide insights that drive business growth within the claims sector. Responsibilities include developing analytical approaches, managing data visualization, and presenting findings to senior leadership. A minimum of senior-level experience in business analysis is essential, along with proficiency in data tools like Excel, SQL, and Power BI. The role offers excellent benefits and a collaborative team environment.