Associate Data Analyst Internships
Associate data analyst internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working data scientists and 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.
Associate Data Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Energy
Tips for Your Associate Data Analyst Internship Search
Apply months before the start date
Large employers open summer intern recruiting the preceding fall, often filling cohorts before the new year. Smaller companies and co-op programs post closer to start dates, so roles appear year-round. Check listings regularly and submit as soon as a role matches your background.
Build a portfolio before you apply
Hiring teams for associate data analyst interns have limited work history to review, so a portfolio of documented projects carries real weight. Build two or three complete analyses, link the code or published outputs, and name every tool you used. That gives recruiters something concrete to assess before an interview.
Work your campus network and apply directly
Campus career fairs surface structured intern programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time, since many associate data analyst internships never reach campus and fill through direct applications.
Practice the technical screen out loud
Associate data analyst intern screens typically include a SQL or Python technical assessment and sometimes a case study involving data interpretation or business analysis. Practice solving problems out loud and explaining your reasoning, not just arriving at the right answer, since interviewers weigh how you think as much as the final result.
Target structured rotational and cohort programs early
Larger employers often run rotational or university-hire programs specifically designed to bring people new to data analytics into the field. These cohorts recruit early and fill fast. Identify the structured programs that match your background and apply in the first recruiting wave, before general applications open.
Set your work-type filter before you start
On-site roles are 26% of the associate data analyst internships listed here. Decide what you can realistically commit to before you search, then filter by location and work type on Migrate Mate so you're only reviewing roles you can actually accept.
Associate Data Analyst Internships: Frequently Asked Questions
How do I get an associate data analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A portfolio of documented analyses, linked code repositories, or published dashboards gives recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an associate 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 performance on real work, available headcount on the team, and how early you signal interest in returning. Position yourself by delivering on your assigned project and asking your manager about the return-offer process, without counting on the outcome.
When should I apply for associate data analyst internships?
Earlier than most candidates expect. Large employers open summer intern recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to their start dates, so openings appear year-round. Checking listings regularly and applying as soon as a role matches your profile gives you the best chance.
Are associate data analyst internships paid?
Most professional associate data analyst internships in the United States are paid. Compensation varies by company size, industry, and location, and listings display it where the employer discloses it. Unpaid arrangements are uncommon at professional firms and are more typical of academic or nonprofit settings.
What should an associate data analyst internship resume include?
Lead with two or three complete, documented projects rather than work history. For each project, name the tools used and include a link to the work, whether that's a code repository, a published analysis, or a written case study. Add relevant coursework and keep the resume to one page, since intern hiring managers expect brevity.
Are there remote associate data analyst internships?
Yes. Remote and hybrid roles make up 74% of the associate data analyst internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
Can international students get associate 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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