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Indiana Farmers Insurance

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Product Data Analyst

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Summary

Analyzes insurance data such as claims, underwriting, premiums, and profitability to spot trends, create reports, support product changes, and prepare regulatory filings, leveraging AI-enabled tools for analysis and documentation.

Grow Without Feeling Like Just a Number

Looking for a place where you can grow your career and still feel known, valued, and supported? Indiana Farmers Insurance combines the stability of a mutual insurance company founded in 1877 with a close-knit culture built on lasting relationships. Our ICARE values of Innovation, Collaboration, Accountability, Respect, and Empowerment create clear expectations for how we contribute, work together, take ownership, and support one another. Here, you can strengthen your skills, build trusted relationships, and see how your work makes a difference for our members, independent agency partners, and communities. Join us to help protect what matters while building something meaningful for yourself.


Why this role matters

Insurance products affect the experience of our members, the work of our agency partners, and the performance of our business. This role sits at the connection point between data, product strategy, regulatory requirements, systems, and day-to-day execution. Your work will help Indiana Farmers make informed product decisions, improve implementation quality, and deliver changes accurately and on time.


What you will do

· Analyze claims, underwriting, premium, profitability, retention, growth, market, competitive, and operational information to identify trends, risks, and opportunities.

· Create clear reports, presentations, and recommendations that help leaders and business partners understand product performance and make decisions.

· Support product changes involving rates, rules, documentation, business requirements, testing, and implementation.

· Prepare regulatory filing materials and maintain product information so requirements can be understood and applied consistently.

· Partner with Quality Assurance and Information Technology to define test scenarios, investigate implementation issues, and identify root causes and improvements.

· Serve as a resource for questions involving rating and product documentation, translating complex information for both technical and business audiences.

· Use approved AI-enabled tools thoughtfully to improve analysis, documentation, and efficiency while maintaining sound professional judgment.

See also

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