Top Senior Level Insurance Data & Analytics Jobs in Chicago, IL

Lead the pricing function for Management Liability, perform pricing studies, maintain advanced models, and collaborate with underwriting and claims departments.

The Information Management Engineer will oversee metadata management, master data models, integration pipelines, and data governance efforts, primarily utilizing Azure and GCP platforms.

The Azure Cloud Engineer will implement, manage, and optimize Azure cloud infrastructure, develop IaC templates, maintain CI/CD pipelines, and ensure system reliability and security compliance.

As a Senior Product Analyst, you will conduct complex quantitative analysis for property & casualty products, manage projects, develop analytical strategies, and communicate findings with stakeholders to enhance product performance.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Lead design and implementation of automated risk monitoring, analytics, and dashboards. Build data pipelines and predictive models (Power BI, Snowflake, SQL) to enable continuous compliance monitoring, integrate risk data sources, and deliver insights to executives, Audit, ERM, and the Board.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

Contract Tableau expert to design, build, and improve dashboards from source data. Model complex datasets, optimize performance and usability, establish dashboard best practices, and partner with stakeholders to deliver actionable reporting (30–35 hours/week, contractor).

Senior individual contributor owning partnerships analytics: lead agent acquisition and product analytics, build risk/commission debt models, define onboarding "aha" metrics, optimize funnels, enable self-serve analytics, integrate generative AI tooling, and mentor junior analysts.