P&C Insurance Data Analyst: Pricing & Insights

Argonaut Management Services, Inc; Omaha (NE); On-site; USD 68,000 - 95,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

401(k) with company match

Paid time off

Professional development

Job summary

Farm Family in Omaha is seeking a P&C Data Analyst to support the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

You will work with pricing actuaries, underwriting, claims, distribution, product partners, data engineers, and IT to translate

Qualifications

• Bachelor's degree in a quantitative field (math, stats, actuarial science, CS, data science)
• 2–4 years of relevant data science or analytics experience; master’s may substitute
• Proficiency in analytical programming languages and tools (SQL, Python, R)
• Experience with large, complex datasets
• Strong analytical thinking, problem solving, and communication skills
• Strong diligence and commitment to data quality

Responsibilities

• Support pricing analyses and portfolio monitoring across Personal and Commercial Lines
• Analyze trends in frequency, severity, retention, growth, profitability, and other key metrics
• Collaborate with actuarial, underwriting, and product teams to identify challenges and develop data-driven recommendations
• Assist in evaluating the impact of underwriting, pricing, and product changes on business performance
• Develop recurring and ad hoc analyses to support strategic decisions

Skills

SQL

Python

R

Data analysis

Communication

Education

Bachelor's degree in quantitative field

Master's degree may substitute for experience

Tools

SQL

Job description

Farm Family in Omaha is seeking a P&C Data Analyst to support the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

You will work with pricing actuaries, underwriting, claims, distribution, product partners, data engineers, and IT to translate