Customer Data Analyst Internships
Customer data analyst internships give university students, recent graduates, and early-career switchers hands-on project experience working directly with consumer datasets, mentorship from working data analysts and data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in 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.
Customer Data Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Energy
Tips for Your Customer Data Analyst Internship Search
Apply earlier than your classmates do
Large employers open summer internship applications the preceding fall and close cohorts months before the program starts. Smaller companies and co-ops post closer to their start dates, so check listings regularly. Getting your application in during the first wave matters more for customer data analyst roles than polishing it an extra week.
Build a portfolio before you need one
Hiring teams for customer data analyst intern roles want something concrete to assess. Create two or three end-to-end projects using real datasets, document your methodology, and publish the work, whether that's a linked GitHub repository, a public dashboard, or a written analysis. A portfolio entry you can share in an application outweighs a resume bullet that describes the same work.
Work your campus network and apply directly at the same time
Campus career fairs surface structured 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 alongside your campus activity so you're reaching employers who don't recruit on campus at all.
Practice the technical screen out loud before you apply
Customer data analyst intern interviews typically include a technical or analytics screen covering SQL queries, data cleaning, or exploratory analysis. Practice working through problems while narrating your reasoning, not just arriving at an answer, because interviewers weight how you think as much as the final result. Run through mock problems until explaining your process feels natural.
Target structured internship programs at larger employers
Many large companies run formal analytics or data internship cohorts built to train people new to the field, with mentorship, rotations, and defined project scopes. These programs recruit early, often the fall before a summer start, and fill fast. Identify the ones that match your background and apply in the first wave rather than waiting for the posting to circulate.
Set your work-type filter before you start searching
On-site roles are 26% of the customer data analyst internships listed here. Decide what you can actually commit to before you search, then filter by location and work type so you're only reviewing roles you can take. Sorting through listings that don't fit your situation costs time you could spend applying to ones that do.
Customer Data Analyst Internships: Frequently Asked Questions
How do I get a customer data analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio of two or three completed analyses, with linked code or published dashboards recruiters can open and assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a customer 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 for customer data analyst interns is performance on real project deliverables, available headcount on the team, and how early you signal interest in returning. Position for one by treating every assignment as a work sample, but keep applying elsewhere so you're not counting on a single outcome.
When should I apply for customer data analyst internships?
Earlier than most students expect. Large employers recruit summer interns the preceding fall, often closing cohorts before spring semester begins. 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 opens gives you the best chance of moving through the process before a cohort fills.
Are customer data analyst internships paid?
Most professional customer data analyst internships in the U.S. are paid. Compensation varies by company size, industry, and location, and the specifics depend on what each employer chooses to disclose. Listings show compensation where the employer has provided it, so you can compare opportunities as you search.
What should a customer data analyst internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools used and link to the work, whether that's a GitHub repository, a published analysis, or a case study write-up. Add relevant coursework in statistics, SQL, or data visualization. Keep the whole document to one page so recruiters can scan it quickly at the intern level.
Are there remote customer data analyst internships?
Yes. Remote and hybrid roles make up 74% of the customer data analyst internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early once you've decided what works for your situation, and filter by work type to surface those roles without sorting through listings you can't commit to.
Can international students get customer 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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