Data Analyst

What you'll do:

Optimize underwriting processes using data-driven insights, refining risk selection criteria and collaborating with Data Scientists to guide portfolio strategy;

Identify performance patterns and new features, analyzing complex data to detect over/underperforming segments and strengthen risk understanding;

Identify and integrate external data sources, negotiate strategic partnerships, and quantify their impact with the support of Data scientists to boost underwriting sophistication;

Design competitive coverages that balance risk-customer needs-profitability and support along the end-to-end development through constant cross-functional collaboration.

What we're looking for:

Strong academic background in Actuarial Science, Economics, Data Science, Engineering, Mathematics or Statistics;

From 2 to 6 years of experience in similar roles within motor insurance, consulting, or business transformation (e.g., process optimization);

Analytical powerhouse – Data-driven (Power BI, Tableau, SAS, SQL, Python) mindset to turn insights into action. Work with other Data Scientists and Data Analysts across the company to strengthen Prima’s data-driven culture, promoting best practices;

Self-starter attitude – You take ownership, thrive in ambiguity, and make things happen—no hand-holding needed - empowered by strong problem-solving skills;

Fluent English – Clear communication is key in our global team.

Nice-to-have:

Exposure to underwriting/risk/antifraud processes or strategies;

Project Leadership – Proven track record in managing cross-functional initiatives;

Experience working with Product/Tech teams or in startups.