Data Analytics Associate Internships
Data analytics associate internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data analysts and scientists, 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.
Data Analytics Associate Internship Market
Who's Hiring
Top Industries Hiring
- Energy
Tips for Your Data Analytics Associate Internship Search
Apply months before the internship starts
Large employers open summer cohort applications the preceding fall, roles that start in June are often filled by December. Smaller companies and co-op programs post much closer to their start dates, so check listings throughout the year rather than waiting for a single recruiting season.
Build a portfolio before you need one
Data analytics associate intern candidates win interviews with documented project work, not work history. Complete two or three end-to-end analyses or dashboard projects using SQL, Python, or BI tools, publish them to a GitHub repository or a public write-up, and link that work in every application so recruiters have something concrete to assess.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied to your university, and recruiters there often move faster for students they meet face to face. Your professors and career center staff frequently know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach.
Practice your technical screen out loud before applying
Data analytics associate intern interviews typically include a technical screen covering SQL queries, data manipulation, or analytical case questions. Practice solving problems out loud and explaining your reasoning step by step, interviewers weight how you think through a problem as heavily as whether you reach the right answer.
Target structured internship programs at larger employers
Many large companies run formal analytics or data rotational programs built to train people who are new to the field. These cohort programs offer structured mentorship and project rotations, recruit early in the fall, and fill their first wave fast. Identify the programs that match your background and submit in that opening window.
Set your work-type filter before you start
On-site roles are 26% of the data analytics associate internships listed here. Decide what you can realistically commit to, on-site, hybrid, or fully remote, before you start sorting through listings. Filtering by location and work type upfront keeps you focused on roles you can actually accept and prevents wasted applications.
Data Analytics Associate Internships: Frequently Asked Questions
How do I get a data analytics associate internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For data analytics associate candidates, the concrete artifact is a linked portfolio of completed analyses, dashboards, or data projects showing the tools you used and the questions you answered. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data analytics associate internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for data analytics associate interns is performance on real project work, available headcount on the team, and acting on return-offer conversations before the internship ends. Position for one by delivering on your project scope and asking your manager about the process early, without counting on it as a certain outcome.
When should I apply for data analytics associate internships?
Earlier than most candidates expect. Large employers recruit summer cohorts the preceding fall, so applications for June starts often open in September and October. Smaller companies and co-op programs post much closer to their start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single season gives you a broader window to apply.
Are data analytics associate internships paid?
Most professional data analytics associate internships in the United States are paid. Compensation varies by company size, industry, and location, and the specifics depend on the employer. Where a company discloses pay, the listing will show it, so you can compare directly across roles as you apply.
What should a data analytics associate internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools you used, SQL, Python, Tableau, or whichever stack you worked in, and link to the finished work: published analyses, a GitHub repository, or a case study write-up. Add relevant coursework, keep formatting clean, and hold the whole document to one page.
Are there remote data analytics associate internships?
Yes. Remote and hybrid roles make up 74% of the data analytics associate internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early once you identify roles that fit. Use the work-type filter to see only remote or hybrid listings and avoid sorting through positions you can't take.
Can international students get data analytics associate 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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