Talent Locker
City, Manchester
Oct 23, 2025
Full time
Data Analyst (Insurance Technology) Location: Manchester (Hybrid - 1 day per week in the office) Salary: 35,000 - 50,000 + benefits (DOE) Benefits: 30 days holiday, private medical, enhanced pensioni, discretionary bonus, stock options Want to do more than just pull data and see how your work shapes real products? Join a fast-growing InsurTech that's transforming commercial insurance through data, analytics and technology. You'll work alongside actuaries, underwriters and developers, turning complex data and pricing rules into real-world solutions that change how brokers and insurers operate. This is a rare opportunity to join a small, collaborative team where you'll be trusted to make an impact instead of being lost in layers of process. What you'll be doing Build and maintain interactive dashboards and regular business reports. Run SQL queries to extract, analyse and interpret insurance data. Work with actuaries to design, test and implement rating models and rules. Present insights and recommendations to underwriting, sales and finance teams. Support company-wide reporting and data automation projects. Document processes and continuously improve reporting accuracy and efficiency. What you'll bring Insurance experience to hit the ground running with terminology and pricing concepts Strong SQL and Excel skills; experience with visualisation tools Mathematical mindset with strong attention to detail. Exposure to Python for data analysis or automation. Confident communicator who can explain technical insights to non-technical teams. Organised, curious and able to balance independence with collaboration. Bonus: experience with pricing or rating software. What makes this different Work across data, pricing, and product; genuine variety and visibility. Small, agile team where your ideas get noticed and implemented. Modern tech stack and culture no legacy systems or red tape. A business combining stability with startup energy who are established, profitable, and growing fast. The freedom to learn, experiment, and see your work make a real impact. If you're analytical, hands-on, and want to use data to solve real problems, this is where you'll grow.