Top Insurance Data & Analytics Jobs in Chicago, IL

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

The UAT Lead is responsible for validating developed solutions in the Agile framework, collaborating with product teams to create test strategies, executing test plans, and facilitating alignment across project teams.

The Commercial Insurance Analytics Consultant leads analytical initiatives for commercial insurance, evaluates trends and risks, and makes recommendations to senior leadership while mentoring less experienced analysts.

The Manager, Actuarial will oversee product development for Businessowner Policy products, manage a small team, and conduct analytical assessments to support profitable growth.

This role involves valuation, pricing and product development, modeling, forecasting, and risk management tasks related to life insurance and annuity products.

The Actuarial Data Analyst will support pricing, compliance, competitive analysis, and data analytics for multiple commercial insurance lines, ensuring competitive advantage and compliance across jurisdictions.

The Analytics Consultant will support HCSC's largest clients with technical expertise in data analysis, focusing on healthcare-related datasets and client engagements while presenting insights to C-Suite stakeholders.