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Insurance Analytics Pro: Drive Product & Portfolio Insights

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst
  • Insurance
Salary/Wage Range or Industry Benchmark: 85000 - 130000 USD Yearly USD 85000.00 130000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Analyze insurance product and portfolio performance to identify trends, opportunities, and areas requiring attention
  • Support insurance product managers and program leaders with rate revisions, state expansion, product development, and other strategic initiatives
  • Conduct quantitative and qualitative analysis across products, states, customer segments, and other areas of the business
  • Translate portfolio performance into clear recommendations and actions
  • Build and maintain dashboards, reporting, and analytical tools using Sigma and other business intelligence platforms
  • Develop and refine metrics covering product performance, operational efficiency, and business outcomes
  • Answer complex reporting, metric, and data questions for insurance stakeholders
  • Perform data quality checks, reconciliations, and validation
  • Use AI tools, including Claude, to improve analytical processes and build tools and frameworks
  • Partner with Product, Engineering, Data, and Insurance teams to automate work and improve workflows
  • Collaborate with Insurance Product Managers, Underwriting, Compliance, Data Engineers, Data Analysts, Distribution, and other business partners
  • Translate technical analysis and business logic into actionable insights for technical and non-technical audiences
  • Serve as a resource for insurance stakeholders seeking to understand data, metrics, and performance
  • Help build data literacy and evidence-based decision-making across the Insurance organization
Requirements
  • 1–3 years of experience in an analytics, insurance, underwriting, product, or related role within the property insurance industry
  • Experience with or knowledge of surplus lines insurance is strongly preferred
  • Understanding of insurance product principles and the factors that influence product and portfolio performance
  • Interest in using data to solve business problems and support profitable growth
  • Experience using SQL to analyze and work with data
  • Experience with data visualization and business intelligence tools;
    Sigma experience is a plus
  • Ability to conduct quantitative and qualitative analysis and turn findings into clear business recommendations
  • Curiosity and enthusiasm for using AI and emerging technology to improve how work gets done
  • Ability to explain complex business logic and analytical findings to both technical and non-technical audiences
  • Strong ownership mindset with the ability to move from identifying a problem to helping drive a solution
  • Comfortable working across teams and with stakeholders at all levels of the organization
  • Detail-oriented with the ability to manage competing priorities and maintain a high standard of quality
Core Competencies

Demonstrates expertise in analyzing insurance product performance and translating data insights into actionable recommendations. Proficient in using SQL and business intelligence tools like Sigma to support data-driven decision-making and improve operational efficiency.

Highest-signal resume keywords
  • SQL Data Analysis
  • Insurance Product Principles
  • Data Visualization
  • Quantitative And Qualitative Analysis
  • AI Tools Utilization
ATS Optimization Keywords Hard Skills
  • Data Analysis
  • Performance Metrics Development
  • Data Quality Checks
  • Reconciliation
  • Business Recommendations
Soft Skills
  • Detail-Oriented
  • Strong Ownership Mindset
  • Collaboration
  • Communication
  • Curiosity
Industry Keywords
  • Property Insurance
  • Surplus Lines Insurance
  • Insurance Stakeholders
  • Underwriting
  • Data Literacy
Tools & Technologies
  • Sigma
  • Business Intelligence Platforms
  • AI Tools
  • Dashboards
  • Analytical Tools
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