Product Analytics Analyst Sr at Selby Jennings in Bloomington, IL

Senior Product Analytics Analyst

A highly respected regional Property & Casualty insurance organization is seeking a Senior Product Analytics Analyst to join its Product Strategy and Market Analytics team. This role offers the opportunity to influence product performance, profitability, growth initiatives, and market strategy across multiple states and lines of business. The organization is investing heavily in data modernization and analytical capabilities, creating an environment where analytical professionals can have a direct impact on business decisions while working with modern tools and large-scale insurance datasets.

The Senior Product Analytics Analyst will serve as a strategic partner to product leaders, market managers, underwriting teams, actuarial professionals, and executive stakeholders. Through advanced analytics, competitive intelligence, and business performance monitoring, this individual will help guide decisions related to pricing, underwriting, product development, retention strategies, distribution management, and market expansion opportunities.

This position is ideal for someone who enjoys combining technical analytics with business strategy. The successful candidate will leverage data to identify trends, evaluate company performance, provide actionable recommendations, and support long-term profitability objectives. The role requires both strong technical capabilities and the ability to communicate insights effectively to business audiences.

Position Responsibilities

The Senior Product Analytics Analyst will analyze product and market performance across various personal and commercial insurance lines. This includes evaluating premium trends, retention results, growth patterns, loss performance, competitor activity, and profitability metrics. The analyst will transform large and complex datasets into meaningful business insights that support strategic decision-making throughout the organization.

Key responsibilities include:

• Analyze profitability, growth, retention, and production metrics across assigned products and geographic markets.
• Develop analytical models and reporting processes that support product strategy and market management initiatives.
• Monitor shifts in business mix and identify emerging trends that may impact profitability, competitiveness, or customer retention.
• Evaluate rate adequacy, product performance, underwriting outcomes, and portfolio health using a variety of analytical techniques.
• Conduct competitive research and market intelligence studies to understand industry developments, pricing trends, distribution strategies, product innovations, and competitive positioning.
• Identify opportunities to improve business performance through data-driven recommendations and strategic initiatives.
• Partner with product leaders to develop and execute state-specific and regional growth strategies.
• Support new product development efforts by evaluating market opportunities, customer needs, competitor offerings, and financial implications.
• Assist in the design and enhancement of insurance products to improve market competitiveness and customer value.
• Provide analytical support for underwriting, pricing, distribution, marketing, and operational initiatives.
• Build dashboards, visualizations, and self-service reporting tools that improve business visibility and decision-making.
• Present analytical findings and recommendations to both technical and non-technical stakeholders.
• Collaborate with leadership teams to establish performance metrics and monitor strategic initiatives.
• Translate analytical insights into actionable recommendations that support company goals.
• Support implementation of product changes, pricing revisions, and strategic initiatives by coordinating with technology and business teams.
• Participate in data modernization efforts and help identify opportunities to improve analytical efficiency and reporting capabilities.
• Ensure reporting accuracy, data integrity, and consistent measurement methodologies across business functions.
• Partner with internal subject matter experts to understand drivers of performance and develop improvement strategies.
• Research emerging industry trends, technologies, and analytical techniques that may benefit the organization.
• Contribute to a culture of continuous improvement, innovation, and data-driven decision making.

Analytics and Technical Responsibilities

This role requires a strong technical foundation and the ability to work with large volumes of data from multiple sources. The analyst will be expected to perform advanced analyses while helping modernize analytical processes throughout the organization.

Specific analytical responsibilities include:

• Data extraction, transformation, and analysis using SQL and related database technologies.
• Development of predictive and descriptive analytical solutions using Python, R, SAS, or comparable programming languages.
• Creation of business intelligence solutions that provide stakeholders with meaningful performance insights.
• Analysis of customer behavior, retention trends, profitability drivers, and production results.
• Statistical evaluation of business performance and identification of factors influencing key outcomes.
• Development of automated reporting solutions and analytical processes.
• Construction of executive-level dashboards and visualization tools.
• Data validation, quality assurance, and process improvement initiatives.
• Participation in cloud-based analytics and enterprise data platform initiatives.
• Collaboration with technology and data engineering teams to improve data accessibility and usability.
• Support of ad hoc research projects and strategic business analyses.

Cross-Functional Collaboration

The Senior Product Analytics Analyst will operate in a highly collaborative environment. Success in this role requires strong communication skills and the ability to build effective working relationships across numerous disciplines.

The selected candidate will frequently engage with:

• Product Management
• Market Strategy Teams
• Actuarial Departments
• Underwriting Leadership
• Claims Operations
• Finance and Accounting
• Business Intelligence Teams
• Information Technology
• Data Engineering
• Customer Experience Teams
• Distribution and Agency Management
• Executive Leadership

The analyst will frequently be called upon to translate complex analytical findings into concise business recommendations that influence strategic decisions. The ability to simplify technical concepts while maintaining analytical rigor will be critical to success.

Desired Qualifications

Qualified candidates typically possess:

• Bachelor's degree in Mathematics, Statistics, Economics, Data Science, Business Analytics, Actuarial Science, Finance, Computer Science, or a related analytical discipline.
• Approximately seven or more years of experience in analytics, business intelligence, insurance operations, product management support, market analysis, or a related field.
• Experience within Property & Casualty insurance, financial services, risk management, consulting, or similar industries.
• Strong understanding of insurance products, pricing concepts, underwriting practices, distribution models, and profitability drivers.
• Demonstrated experience developing analytical insights that inform strategic business decisions.
• Proven ability to manage multiple priorities in a fast-paced business environment.
• Strong project management and organizational skills.
• Excellent verbal and written communication capabilities.
• Ability to influence stakeholders through data-driven recommendations.

Technical Skills

Successful candidates will possess experience with several of the following technologies:

• SQL
• Python
• R
• SAS
• Tableau
• Power BI
• Excel
• Snowflake
• Databricks
• AWS
• Azure
• Cloud-based analytics tools
• Data visualization platforms
• Business intelligence applications
• Statistical modeling tools
• Data warehousing concepts

Experience with modern data ecosystems, advanced analytics methodologies, predictive modeling, machine learning applications, and automation initiatives is highly valued.

Desired Professional Characteristics

The ideal candidate demonstrates:

• Intellectual curiosity and a passion for solving business problems through analytics.
• Strong quantitative and analytical reasoning skills.
• Excellent critical thinking and problem-solving abilities.
• Comfort working with ambiguity and evolving business priorities.
• Attention to detail and commitment to delivering high-quality work.
• Ability to work independently while collaborating effectively across teams.
• Strong business acumen and strategic thinking capabilities.
• Natural inclination toward continuous learning and professional development.
• Ability to challenge assumptions using data and objective analysis.
• Confidence presenting recommendations to senior stakeholders.

Career Growth Opportunity

This role offers significant exposure to senior leaders and strategic initiatives. The successful candidate will have opportunities to influence product strategy, contribute to enterprise-level decision making, and expand their expertise across multiple areas of the insurance business.

Individuals in this position often gain experience in:

• Product Strategy
• Market Management
• Insurance Analytics
• Competitive Intelligence
• Business Strategy
• Predictive Analytics
• Data Science Applications
• Pricing Support
• Profitability Management
• Executive Decision Support

The role serves as an excellent pathway for professionals seeking long-term advancement within insurance analytics, product management, data strategy, or broader business leadership functions.

Ideal Backgrounds

Strong candidates may come from:

• Property & Casualty insurance carriers
• Regional insurance organizations
• Specialty insurance companies
• Personal lines insurers
• Commercial lines insurers
• Consulting firms with insurance-focused practices
• Business intelligence teams
• Advanced analytics organizations
• Product management and strategy groups
• Underwriting analytics teams
• Actuarial analytics functions
• Data science organizations supporting insurance operations

This opportunity is particularly attractive to analytics professionals who enjoy blending technical expertise with strategic business influence. The position offers a unique combination of product analytics, market research, competitive intelligence, profitability analysis, and executive-level decision support, making it an exceptional opportunity for experienced analytical professionals looking to broaden their impact within the Property & Casualty insurance industry.