Medical Data Analyst Internships
Medical data analyst internships give university students, recent graduates, and early-career switchers hands-on project experience working with real clinical and claims datasets, mentorship from working data analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated across Energy, with Meta, Vertiv, and FedEx among the employers posting roles now.
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Making a Difference
The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $178 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.
Serving more than 703,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.
Job Description:
About the Team
The Data Analytics Engineering Team is a growing, client service-oriented team. We are business-centric working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs for investment decisions regarding the Wisconsin Retirement System. In partnership with Technology, we are transforming SWIB into a premier data driven organization. The ideal team member is someone who has an interest in financial markets and asset management, and thrives in the data landscape in descriptive, diagnostic, and predictive analytics.
Essential activities:
- Help develop and manage data quality metrics, procedures, and dashboards.
- Proactively manage data by reviewing processes and identifying improvements.
- Track data related problems, analyze root causes, research solutions and suggest fixes.
- Support the development of an enterprise-wide metadata management repository.
- Communicate data related updates to business partners and stakeholders.
- Work with front and middle office partners to identify opportunities for improvement.
- Assist with documenting procedures and policies as part of the Data Governance model.
- Incorporate AI tooling into current workflow processes. Partner with IT, 3rd party contractors and vendors in data related project initiatives.
The Ideal candidate:
- Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2027.
- Undergraduate student studying Computer Science, Information Technology, Library Sciences, Business, Finance, Data Science, Analytics, or other similar disciplines.
- Familiar with version control concepts (Github, Gitlab, AzureDevops)
- Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum)
- Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
- Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
- Basic knowledge of relational databases such as, SQL, Snowflake and SQL language.
- Strong analytical and problem-solving skills.
- Effective communication skills.
- Knowledge of Excel.
- Basic understanding of investment management.
Making a Difference
The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $178 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.
Serving more than 703,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.
Job Description:
About the Team
The Data Analytics Engineering Team is a growing, client service-oriented team. We are business-centric working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs for investment decisions regarding the Wisconsin Retirement System. In partnership with Technology, we are transforming SWIB into a premier data driven organization. The ideal team member is someone who has an interest in financial markets and asset management, and thrives in the data landscape in descriptive, diagnostic, and predictive analytics.
Essential activities:
- Help develop and manage data quality metrics, procedures, and dashboards.
- Proactively manage data by reviewing processes and identifying improvements.
- Track data related problems, analyze root causes, research solutions and suggest fixes.
- Support the development of an enterprise-wide metadata management repository.
- Communicate data related updates to business partners and stakeholders.
- Work with front and middle office partners to identify opportunities for improvement.
- Assist with documenting procedures and policies as part of the Data Governance model.
- Incorporate AI tooling into current workflow processes. Partner with IT, 3rd party contractors and vendors in data related project initiatives.
The Ideal candidate:
- Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2027.
- Undergraduate student studying Computer Science, Information Technology, Library Sciences, Business, Finance, Data Science, Analytics, or other similar disciplines.
- Familiar with version control concepts (Github, Gitlab, AzureDevops)
- Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum)
- Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
- Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
- Basic knowledge of relational databases such as, SQL, Snowflake and SQL language.
- Strong analytical and problem-solving skills.
- Effective communication skills.
- Knowledge of Excel.
- Basic understanding of investment management.
Medical Data Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Energy
Tips for Your Medical Data Analyst Internship Search
Apply earlier than you think necessary
Large health systems, insurers, and pharmaceutical companies recruit summer interns the preceding fall, often closing applications before winter break. Smaller companies and co-op programs post closer to their start dates, so new openings appear year-round. Set a recurring reminder to check listings every two weeks throughout the academic year.
Build a project portfolio before you apply
Hiring teams for medical data analyst internships expect limited work history, so your projects are the main thing they evaluate. Document two or three analyses using real or public datasets, name every tool you used, and publish the work somewhere linkable, a GitHub repository or a shared dashboard works well, so your application has something concrete attached to it.
Work your campus network alongside direct applications
Career fairs surface structured programs tied to your university, and recruiters there often move faster for students they meet in person. Professors and career center staff frequently know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time so you are not limited to what comes through campus channels.
Practice the technical screen out loud before you apply
Medical data analyst intern interviews typically include a technical screen covering SQL queries, data cleaning logic, and sometimes basic statistics or a take-home analysis. Practice solving problems out loud and explaining your reasoning step by step, because interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured rotational and cohort programs early
Several large health systems and analytics companies run formal intern cohort programs designed to train people new to medical data work, rotating participants across teams or analytical domains. These programs recruit earlier than individual team internships and fill fast, so identify the ones that fit your background and submit in the first application wave.
Set your work-type filter before you start
On-site roles are 26% of the medical data analyst internships listed here, so the split between location types is real. Decide what you can actually commit to before you start applying, then filter by location and work type so you are not spending time on roles you cannot take.
Medical Data Analyst Internships: Frequently Asked Questions
How do I get a medical data analyst internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. Build a portfolio of two or three documented analyses, ideally with linked code or published dashboards, so recruiters have something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a medical data analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, available headcount on the team, and how early you signal interest before the offer window closes. Position yourself for one by delivering well and asking your manager about the timeline, without counting on it as a certainty.
When should I apply for medical data analyst internships?
Earlier than most expect. Large employers, particularly health systems and pharmaceutical companies, recruit summer interns the preceding fall, with applications closing months before the start date. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly and applying as soon as a role appears gives you the best chance.
Are medical data analyst internships paid?
Most professional medical data analyst internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show pay where the employer discloses it. Unpaid arrangements are rare at established healthcare organizations and technology companies and are more common at nonprofits or early-stage startups.
What should a medical data analyst internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used, SQL, Python, R, Tableau, or similar, and link to the work directly, whether that is a GitHub repository, a published analysis, or a case study write-up. Add relevant coursework, keep the whole document to one page, and put your projects section above any unrelated work experience.
Are there remote medical data analyst internships?
Yes. Remote and hybrid roles make up 74% of the medical data analyst internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early and filter by work type to see them before they close.
Can international students get medical data analyst internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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