Legal Ops Data & AI Analytics Intern (Hybrid)

Cigna Health and Life Insurance Company; St. Louis (MO); Hybrid; USD 33,000 - 34,000; Part time

Job summary

The Cigna Group is seeking a Legal Operations Financial, Data & AI Analytics Intern to turn financial, operational, and contracting data into insights that support smarter decisions.

The role emphasizes building dashboards, improving data quality, and delivering timely recommendations in a fast-moving environment. You will work across Legal Ops, Finance, Procurement, and Technology while gaining hands-on experience with AI-enabled analytics.

Qualifications

• Demonstrated analytical project experience.
• Rising senior progressing toward a bachelor’s degree in accounting, business, finance or economics.
• Proficiency with Microsoft Excel, including formulas, pivot tables, and clean data organization.
• Ability to use AI tools responsibly to support analysis, automation, workflow improvement, and insight generation.

Responsibilities

• Transform legal operations, vendor spend, budget, and contract data into actionable reporting.
• Build or enhance dashboards, automated reports, workflows, and analytics.
• Collaborate with Legal Ops, Finance, Procurement, Technology, and other partners to improve efficiency and cost management.
• Develop working knowledge of departmental systems, data sources, and processes to deliver timely recommendations.

Skills

Analytical thinking

Excel

Data interpretation

Communication

Collaborative

Education

Bachelor's degree in accounting, business, finance or economics (rising senior)

Tools

Excel

AI tools

Dashboards

Job description

The Cigna Group is seeking a Legal Operations Financial, Data & AI Analytics Intern to turn financial, operational, and contracting data into insights that support smarter decisions.

The role emphasizes building dashboards, improving data quality, and delivering timely recommendations in a fast-moving environment. You will work across Legal Ops, Finance, Procurement, and Technology while gaining hands-on experience with AI-enabled analytics.