Graduate Data Analyst Internships
Graduate 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 {{top_industries_phrase}}, with Bosch, Donaldson, and The Aerospace Corporation among the employers posting roles now.
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Federal Reserve Bank of Minneapolis The Federal Reserve Bank of Minneapolis Graduate Intern Program in Data Science is intended to introduce full-time or part-time graduate students to the broader Federal Reserve System and, more specifically, the use of data science in the Banking Supervision function. Being at the forefront of overseeing the nation’s largest and most complex financial institutions is a unique opportunity that requires highly analytical and quantitative individuals.The Grad Intern Program provides an opportunity to work in an intellectually stimulating and collaborative environment, to engage in meaningful public service, and to interact with senior leaders at the Federal Reserve Bank of Minneapolis and across the Federal Reserve System. Interns will gain exposure to and experience with the most important quantitative issues and challenges currently facing the regulatory and financial industries. Interns will receive on-the-job mentoring and professional development as they engage in job duties.
APPLICATION CLOSES Sunday, December 6th, 2026, at Midnight.
We are looking for students who are willing to work 40 hours/week for 12 weeks beginning May 24th, 2027 through August 13th, 2027. Rate of pay is $27.00/hour. This position requires a regular on-site presence.
Program Description:
- Learn to manage, manipulate, interpret, and analyze trends in large sets of data and methodology documents.
- Enhance knowledge in programming and the software development life cycle.
- Handle and summarize large amounts of macroeconomic and banking data.
- Become familiar with different metrics and measures that are used to evaluate the health of the banking system.
- Synthesize information and glean insights related to banking conditions around the country.
- Present technical issues to non-technical audiences and clearly articulate findings in verbal and written form.
- Utilize advanced statistical techniques to analyze conditions in the banking sector, or across various industries or communities.
- Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.
Required Qualifications:
- Currently enrolled and actively pursuing a graduate degree in a quantitative field such as (but not limited to) Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, Statistics, etc.
- Strong academic record in MS or Ph.D. program.
- Knowledge of query languages such as SQL.
- Demonstrated experience with R or Python.
- Code samples will be requested from selected candidates.
- Ability to work collaboratively within a team.
- Meet Protected Individual requirement.
- Able to work 40 hours per week throughout the duration of the 12-week internship program, starting in May 2027.
Additional Preferred Qualifications (Not Required):
- Knowledge of R Shiny dashboard building and reporting experience using R Markdown.
- Knowledge of collaborative version control platforms such as GitLab.
- Knowledge of Finance and Banking.
- Knowledge of Data Visualization.
Please note: We do NOT provide relocation assistance, housing, travel reimbursement, or sponsorship. This position is not open to undergraduate students.
- This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of “protected individual” under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.
The Minneapolis Fed is committed to fostering an environment where all employees are respected and valued. We provide equal employment opportunity to all persons and we work together to pursue an economy that works for all of us.
Full Time / Part Time
Full timeRegular / Temporary
TemporaryJob Exempt (Yes / No)
NoJob Category
Internship Family GroupWork Shift
First (United States of America)The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
Privacy Notice
Company
Federal Reserve Bank of Minneapolis The Federal Reserve Bank of Minneapolis Graduate Intern Program in Data Science is intended to introduce full-time or part-time graduate students to the broader Federal Reserve System and, more specifically, the use of data science in the Banking Supervision function. Being at the forefront of overseeing the nation’s largest and most complex financial institutions is a unique opportunity that requires highly analytical and quantitative individuals.The Grad Intern Program provides an opportunity to work in an intellectually stimulating and collaborative environment, to engage in meaningful public service, and to interact with senior leaders at the Federal Reserve Bank of Minneapolis and across the Federal Reserve System. Interns will gain exposure to and experience with the most important quantitative issues and challenges currently facing the regulatory and financial industries. Interns will receive on-the-job mentoring and professional development as they engage in job duties.
APPLICATION CLOSES Sunday, December 6th, 2026, at Midnight.
We are looking for students who are willing to work 40 hours/week for 12 weeks beginning May 24th, 2027 through August 13th, 2027. Rate of pay is $27.00/hour. This position requires a regular on-site presence.
Program Description:
- Learn to manage, manipulate, interpret, and analyze trends in large sets of data and methodology documents.
- Enhance knowledge in programming and the software development life cycle.
- Handle and summarize large amounts of macroeconomic and banking data.
- Become familiar with different metrics and measures that are used to evaluate the health of the banking system.
- Synthesize information and glean insights related to banking conditions around the country.
- Present technical issues to non-technical audiences and clearly articulate findings in verbal and written form.
- Utilize advanced statistical techniques to analyze conditions in the banking sector, or across various industries or communities.
- Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System.
Required Qualifications:
- Currently enrolled and actively pursuing a graduate degree in a quantitative field such as (but not limited to) Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, Statistics, etc.
- Strong academic record in MS or Ph.D. program.
- Knowledge of query languages such as SQL.
- Demonstrated experience with R or Python.
- Code samples will be requested from selected candidates.
- Ability to work collaboratively within a team.
- Meet Protected Individual requirement.
- Able to work 40 hours per week throughout the duration of the 12-week internship program, starting in May 2027.
Additional Preferred Qualifications (Not Required):
- Knowledge of R Shiny dashboard building and reporting experience using R Markdown.
- Knowledge of collaborative version control platforms such as GitLab.
- Knowledge of Finance and Banking.
- Knowledge of Data Visualization.
Please note: We do NOT provide relocation assistance, housing, travel reimbursement, or sponsorship. This position is not open to undergraduate students.
- This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of “protected individual” under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible.
The Minneapolis Fed is committed to fostering an environment where all employees are respected and valued. We provide equal employment opportunity to all persons and we work together to pursue an economy that works for all of us.
Full Time / Part Time
Full timeRegular / Temporary
TemporaryJob Exempt (Yes / No)
NoJob Category
Internship Family GroupWork Shift
First (United States of America)The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
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Graduate Data Analyst Internship Market
Who's Hiring
Tips for Your Graduate Data Analyst Internship Search
Apply earlier than you think necessary
Large employers recruit summer interns the preceding fall, meaning applications open months before the role starts. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Check listings regularly rather than waiting for a single recruiting season to avoid missing the first wave at the employers you want.
Build a portfolio before you need one
Hiring teams for graduate data analyst internships expect limited work history, so your projects are your proof. Document two or three complete analyses or data projects with the tools used, Python, SQL, Tableau, R, and publish the work in a GitHub repository or a case study recruiters can read before your interview.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied to your university, and professors and career center staff often 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 and catches openings that never go through campus channels.
Practice the technical screen out loud before you apply
Graduate data analyst intern screens typically involve a SQL or Python coding exercise, an analytics or take-home case, or both. Practice walking through your reasoning out loud as you work, since interviewers weigh how you think through a problem as much as the final answer. Solving problems silently is the most common preparation mistake.
Target structured rotational and cohort programs early
Many larger employers run dedicated data analyst rotational or university cohort programs built to train people new to the field. These programs recruit early, fill fast, and often have a formal application window separate from general postings. Identify the ones that fit your background and submit in the first wave, not after the deadline approaches.
Set your work-type filter before you start
On-site roles are 0% of the graduate data analyst internships listed here. Decide what you can commit to before you start reviewing listings, then filter by location and work type so you are not sorting through roles you cannot take. Migrate Mate's filters let you narrow by work type from the start.
Graduate Data Analyst Internships: Frequently Asked Questions
How do I get a graduate data analyst internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository or published analysis gives recruiters something concrete to assess for graduate data analyst candidates. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a graduate data analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For graduate data analyst interns, what actually drives it is performance on real project work, available headcount on the team, and how early the return-offer conversation happens. Position for one by delivering consistently, but keep applying to other roles so you are not counting on it.
When should I apply for graduate data analyst internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, so applications open months before the start date. Smaller companies and co-op programs post closer to when the role begins, which means openings appear year-round. Checking listings regularly rather than waiting for a single season gives you the widest window.
Are graduate data analyst internships paid?
Most professional graduate data analyst internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships exist but are uncommon at established companies outside of academic or nonprofit settings.
What should a graduate 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, a GitHub repository, a published analysis, or a case study gives recruiters something role-specific to assess for graduate data analyst candidates. Add relevant coursework, keep the whole document to one page.
Are there remote graduate data analyst internships?
Yes. Remote and hybrid roles make up 100% of the graduate 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 graduate 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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