P&C Data Analyst

Brookfield Wealth Solutions, Ltd•Chicago, IL

1d•$65,000 - $98,000

About The Position

The P&C Data Analyst supports 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. The P&C Data Analyst works closely with pricing actuaries, underwriting, claims, distribution, product partners, data experts, and IT professionals to translate business questions into analytical solutions and monitor performance over time. This role operates with moderate independence while receiving guidance on more complex problems.

Requirements

Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
Two to four years of relevant experience in data science, analytics, actuarial support, or related quantitative roles
Proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
Experience working with large, complex datasets
Strong analytical thinking, problem‑solving, and communication skills
Strong diligence and commitment to data quality

Nice To Haves

A master’s degree may be considered in lieu of one to two years of experience
Experience in Property & Casualty insurance, preferably supporting actuarial, underwriting, claims, or product
Familiarity with statistical analysis, predictive modeling, or machine learning concepts
Experience with data lineage, data mapping, validation, and reconciliation processes
Exposure to cloud-based analytics platforms and modern data environments
Understanding of insurance data structures, coverages, rating variables, and policy lifecycle processes
Experience working in Agile or cross-functional project environments

Responsibilities

Support pricing analyses, rate reviews, segmentation evaluations, portfolio monitoring, and performance assessments across Personal and Commercial Lines products
Analyze trends in frequency, severity, retention, growth, profitability, and other key insurance performance metrics
Partner with actuarial, underwriting, and product teams to identify business 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 that support strategic and operational decision-making
Work with large, structured and semi‑structured datasets using SQL and analytical programming languages (e.g., Python or R)
Ensure data quality, reproducibility, and proper documentation of models, assumptions, and results
Support adherence to model development best practices and model risk governance standards
Support data science and predictive modeling initiatives through data preparation, feature development, exploratory analysis, and model performance reporting
Collaborate with data scientists and actuarial partners on analytical projects involving risk segmentation, predictive modeling, and portfolio optimization
Develop foundational skills in statistical analysis, predictive modeling, and analytical programming
Participate in testing, monitoring, and implementation of analytical models and business rules
Contribute to the evaluation of new data sources and analytical techniques that improve pricing and underwriting decisions
Collaborate with actuarial, underwriting, distribution, and product stakeholders to define analytical questions and success criteria
Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
Respond to feedback and iterate on analyses to better support business decisions
Partner with technical teams to support implementation of analytical and reporting solutions
Identify opportunities to improve reporting processes, data quality, analytical efficiency, and business insights
Stay current on industry trends, pricing methodologies, and analytical best practices within P&C insurance
Contribute ideas for improving models, processes, and data usage within the pricing analytics function