Top Insurance Data & Analytics Jobs in Chicago, IL

The Customer Experience Data Analyst role involves analyzing customer feedback, trends, and operational data to drive actionable insights that enhance customer experience. Responsibilities include developing analytics plans, collaborating cross-functionally, and crafting visually engaging reports to inform decision-making.

The Data Engineer will design and implement end-to-end data solutions, optimize data pipelines, ensure data quality, and collaborate with stakeholders to meet business objectives.

As a Data Analyst, you will build and maintain data pipelines, ensure data integrity for financial reporting, and create analytical tools to support finance operations.

The Senior Actuarial Analyst will conduct analyses, provide actuarial insights, mentor junior actuaries, and influence management decisions in underwriting and profitability.

The Actuarial Analyst role involves supporting pricing and analytical capabilities, conducting profitability analyses, and collaborating with underwriting teams to inform strategic business decisions.

As a Data Business Analyst, you'll ensure high-quality insurance data by modeling it for analytics and collaborating with technical teams on integration and validation.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.

The Qlik Developer Leader oversees the Qlik platform's development and governance, translating business needs into BI solutions, while mentoring teams and maintaining data integrity.

The role involves managing actuarial modeling for Retirement Plans, ensuring quality of outputs, overseeing BAU execution, and training junior staff.

The Business Insights & Planning Analyst III coordinates mergers and acquisition efforts, business planning, and work product development, while managing due diligence and supporting various teams in the business development process.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.