Job Description

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.

Skills Required