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Data Analytics Internship

Marsh McLennanRaleigh, North Carolina

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Job Description

Company:

Marsh McLennan Agency

Description:

Marsh McLennan Agency

Data Analytics Internship

Summer 2026 – Applications Accepted through December 1, 2025

Overview:

We are seeking a motivated and detail-oriented Data Analytics Intern to join our team for the summer 2026 internship program. This internship offers a unique opportunity for Junior or Senior students attending UNC Chapel Hill School of Data Science and Society (SDSS) to gain hands-on experience in the healthcare industry, working with large datasets that include medical claims, pharmacy claims, and membership data. Interns will collaborate closely with actuaries and underwriters, contributing to impactful projects that enhance our analytical capabilities.

Key Responsibilities:

  • Analyze and manipulate large datasets using R, SQL, and Python to derive insights and support decision-making processes.

  • Develop predictive models to forecast trends and outcomes in healthcare data.

  • Create interactive reports and dashboards using Power BI to visualize data findings and communicate results effectively.

  • Stage and prepare data for analytical work, ensuring data integrity and accuracy.

  • Collaborate with team members on various technical tasks and projects, contributing to the overall success of the analytics team.

  • Participate in team meetings and presentations, sharing insights and learning from experienced professionals in the field.

Qualifications:

  • Currently pursuing a Bachelor’s degree in Data Science.

  • Interest in health care markets and health economics preferred.

  • Familiarity with programming languages such as R, SQL, and Python.

  • Experience with data visualization tools, particularly Power BI, is a plus.

  • Strong analytical and problem-solving skills, with a keen attention to detail.

  • Excellent communication skills, both written and verbal, with the ability to present complex information clearly.

  • A passion for data analysis and a desire to learn about the healthcare industry.

What We Offer:

  • Hands-on experience working with real-world healthcare data.

  • Mentorship from experienced actuaries and underwriters.

  • Opportunities to develop technical skills and gain insights into the healthcare analytics field.

  • A collaborative and supportive work environment.

  • This is a paid internship.

Attendance throughout the entire program period is required.

MMA encourages all its colleagues to pursue dreams without limits. We promote curiosity and creativity. We gain new insight from diverse thinking and take risks on new ideas. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

We further believe a business culture that supports a healthy, safe work environment does so by offering the right benefits, programs, policies and opportunities to keep colleagues engaged and productive including: flexible, hybrid work environment, health and welfare, tuition assistance, 401K, employee assistance program, volunteer opportunities, and other programs. Our organization is no exception. MMA was named a 2025 Top Workplace and Top Workplace awards for cultural excellence in the areas of professional development, DE&I practices, and employee well-being.

 To learn more about a career at MMA, check us out our website or flip through recruiting brochure.

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Who you are is who we are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

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The applicable hourly rate for this role is $20/hour. 

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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