Product Analytics Analyst — McLean County, IL

Position Summary:

Our partner is an established financial services organization providing personal and commercial insurance, retirement, and investment solutions. As part of its focus on profitable growth, the organization is strengthening how it evaluates insurance products, identifies market opportunities, and makes informed business decisions across different states.

They are looking for a Senior Product Analytics Analyst to support the Market Management team in understanding the factors driving insurance portfolio performance. This person will use SQL, Python, and statistical analysis to examine pricing, claims experience, policy retention, and profitability, working closely with Market Managers to investigate business challenges and identify opportunities for improvement.

The ideal candidate combines strong analytical capabilities with a practical understanding of insurance products and business strategy. They can independently investigate complex problems, challenge assumptions, validate findings, and explain the underlying drivers behind business results. They will translate their analysis into actionable recommendations that influence business decisions while contributing to evolving analytical practices as the organization modernizes its data environment.

Experience and Education:

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related field, or equivalent professional experience.

• 5+ years of experience in business analytics, insurance product analytics, pricing analytics, or financial performance analysis.

• Experience analyzing product or portfolio performance, preferably within Property and Casualty insurance, with an understanding of pricing, claims experience, customer retention, and profitability.

• Advanced SQL experience extracting, joining, validating, and analyzing complex datasets across multiple sources.

• Hands-on Python experience for data exploration, statistical analysis, automation, and analytical validation, including applying diagnostic techniques to investigate performance and test hypotheses.

• Demonstrated experience independently investigating complex business problems, identifying underlying drivers, challenging assumptions, and translating findings into actionable recommendations.

• Experience collaborating with business stakeholders to define analytical priorities, communicate findings, and support decisions related to pricing, growth, and profitability.

Skills and Strengths:

• Insurance Product Analytics

• Business Analysis

• SQL

• Python

• Statistical Analysis

• Profitability Analysis

• Insurance Pricing

• Diagnostic Analytics

• Underwriting Analytics

• Property and Casualty Insurance

• Portfolio Analysis

• Claims Analysis

• Retention Analysis

• Data Validation

• Hypothesis Testing

• Business Strategy

• Market Research

• Project Management

• Tableau

• SAS

Primary Job Responsibilities:

• Analyze insurance product performance across assigned states to identify profitability trends, business risks, and growth opportunities

• Investigate changes in pricing, premium revenue, claims experience, policy retention, and business mix to understand underlying performance drivers

• Partner with Market Managers to evaluate business challenges, develop market strategies, and identify opportunities to improve portfolio performance

• Use SQL to extract, combine, validate, and analyze policy, claims, and financial data from multiple sources

• Apply Python and statistical techniques to investigate complex datasets, test hypotheses, and identify factors influencing business results

• Evaluate the impact of pricing changes, customer segments, geographic markets, and portfolio composition on insurance profitability

• Conduct market research and competitive analysis to support insurance product positioning and pricing decisions

• Develop reports, visualizations, and analytical insights that clearly communicate performance trends and potential business implications

• Translate analytical findings into actionable recommendations supporting pricing, retention, growth, and profitability decisions

• Validate data quality, challenge assumptions, and communicate analytical limitations before presenting conclusions

• Independently manage analytical initiatives from business problem identification through investigation, stakeholder communication, and recommendations

• Contribute to improvements in analytical processes, reporting capabilities, and data exploration as the organization modernizes its technology platforms