Early Careers: Health Analytics Intern

Aon Corporation•Chicago, IL

About The Position

Aon is seeking interns for the Health Analytics Team to help translate complex health data into clear insights and recommendations for clients. This role is part of Aon’s Health Analytics team within Aon’s national Health practice. Professionals in this team include consultants, data engineers, data scientists, reporting analysts, statisticians, and actuaries. As a core analytics hub, the team partners with high-visibility Aon business units to bring data-driven insight into client decisions. Within Health Analytics, you’ll work alongside colleagues across key solution areas — Reporting & Analytics, Data Science and Measurement, New Solution Development, Network Analytics, Data Warehouse, Strategic Initiatives, and Data Management & Engineering — all operating as one integrated team. The team uses robust health data, AI, and deep analytics expertise to turn complex information into clear, actionable insights that enhance consulting and actuarial strategy, differentiate Aon through innovation, and elevate the client experience. Aon is a leading global professional services firm providing a broad range of risk, retirement and health solutions. Recently voted one of the Best Employers for New Grads by Forbes, Aon has 50,000 colleagues in 120 countries who empower results for clients by using proprietary data and analytics to deliver insights that reduce volatility and improve performance.

Requirements

Applicants should graduate between December 2027 – June 2028.
Applicants should have a GPA of 3.0 or above.
Proficiency in Microsoft Office products such as Word, PowerPoint, Excel, Outlook and SharePoint.
Strong quantitative and analytical skills, including the ability to structure problems, interpret results and translate insights into actionable recommendations.
Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.

Nice To Haves

Leadership engagement in extracurricular activities, demonstrating strong interpersonal skills, collaboration and the ability to work effectively in teams.
Demonstrates interest in healthcare, life sciences, and employee benefits, with curiosity about industry trends and emerging solutions.
Interest in using data and analytics to inform business decisions and support client strategies.
Experience with data visualization tools to present findings clearly and effectively.
Relevant coursework or internship experience in consulting, presenting, innovation, or data analysis, particularly in client-facing or project-based settings.
Exposure to statistics, computer science, data science, engineering, actuarial science, or other quantitative fields is a plus.
Familiarity with modern AI tools and workflows and curiosity about integrating them into analytics solutions is a plus.
Exposure to Python or R to support data analysis is a plus.
Foundational understanding of data lakes, data warehouses and integrating data from multiple sources is a plus.
Familiarity with Databricks for data storage, processing and analytics is a plus.
Exposure to quantitative analysis, statistical methods, exploratory data analysis, and database or data modeling concepts is a plus.

Responsibilities

Partner with consultants to shape short- and long-term health and benefits strategies for employers, translating complex data and market insights into clear, compelling presentations and reports.
Contribute to strategic assessments of the health care market, analyze key trends and help identify innovative solutions for employers’ health and benefits challenges.
Be part of a dynamic team focused on healthcare data and innovation.
Observe and learn effective client interaction alongside experienced team members.
Prepare consulting deliverables with the use of charts, visualization tools and reporting automation to communicate end-results of technical analyses to a non-technical audience.
Work on multiple projects and manage timelines, achievements, and delivery efficiently.
Work with large health claims and risk datasets such as eligibility data, medical claims and prescription drug claims data from multiple different sources.
Develop understanding of medical claims reporting and billing for inpatient and outpatient services.
Support the use and maintenance of data warehouses by organizing data and assisting with data validation and data quality to ensure information is structured for efficient reporting.
Assist client teams and actuaries with ad-hoc data related requests by producing reports.
Work in data analytics tools and assist in developing data automation processes and R/Python-based data pipelines for data ingestion, cleaning, preparation, and version-controlled workflows.