Intern Data Analytics
Part-timeMankato, MN · HybridPart-time / Full-time$20–21/hrSeen todaySeen in employer's feed today
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Job overview
Compeer Financial offers a data analytics internship providing hands-on experience querying, modeling, and analyzing financial data and other business questions. Interns collect and analyze data, collaborate on team projects, and use analytics tools. The role is part-time during the school year and full-time through summer 2027, with work based at one of several offices in Minnesota, Wisconsin, or Illinois.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Duties
Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.
How we support you:
Hybrid model - up to 50% work from home
Flexible schedules including ample flexibility in the summer months
Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
Learning and development programs
Mentorship programs
Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
Professional membership/certification reimbursement and more!
Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.
To learn more about Compeer Financial visitwww.compeer.com/careers.
CPT & Pre-Opt candidates invited to apply.
This is a paid internship; however, the intern must provide their own housing and transportation. Business related transportation and expenses will be paid by the organization. This intern will work part-time during the school year and full-time through the summer of 2027. The internship is located out of either our MN-Lakeville, MN-Mankato, MN-Rochester, WI-Eau Claire, or IL-Bloomington office locations. If pursuing internship credit through your university, it is your responsibility to consult with your advisor and review the internship's job description to ensure it meets the minimum eligibility requirements.
The contributions you will make:
This internship will provide hands-on experience in the data analytics field. Ideal for undergraduate juniors, non-graduating seniors, or graduate students. The intern will learn how to query, model, and analyze financial data regarding the financial strength and credit worthiness of clients or other business analytics questions.
A typical day:
Collect, model, and analyze data to support business decision-making.
Partner with others to use internal Compeer data to answer business questions using data, analytics, and statistical modeling.
Contribute to key team projects, either collaboratively or independently.
Assist in initiatives focused on cost containment and operational efficiency.
Utilize tools such as SQL, Python, R, and Microsoft Excel.
Utilize AI tools to research, build and improve work products.
Develop professional relationships and explore potential full-time career opportunities.
The skills and experience we prefer you have:
Must be working towards completing a bachelor's or master's degree in Data Science, Computer Science, Economics, Mathematics, Statistics, Data Analytics or a related field.
Coursework or experience in data analytics, modeling, or financial analysis strongly preferred.
Proficiency in using PowerBI, Python, R, Microsoft Excel, AI tools, or other data analytics tools.
Proven ability to work collaboratively in a team environment and deliver excellent client service.
How we will take care of you:
Actual hourly rate offered is dependent upon year in school, work experience, transferable skills, business needs and market demands. The hourly rate range is subject to change and may be modified in the future.
Base Pay
$20—$21 USD
Click here to view federal employment laws applicable for applicants.
Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.
Minimum Education Required
Bachelor Degree
Minimum Experience Required
None
Shift
First (Day)
Number of Openings
1
Public Transportation Accessible
Yes
Veterans Encouraged to Apply
No
Physical Required
Yes
Drug Test Required
Yes
Compensation
$20.00 - $21.00 / Hourly
Postal Code
56001
Job Type
Full Time
Place of Work
On-site
Requisition ID
5409874008
Job Benefits
Not specified
How this job compares
Set against the 2,540 open Data Analytics jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$20–21/hr
- US median$21–31/hr203 hourly ranges
This range's midpoint, $20.50/hr, is 23% below the US median midpoint ($27/hr) — in the lowest quarter of Data Analytics hourly ranges across the US.
- Openings
- Olive Jobs lists 51 open Data Analytics jobs in Minnesota and 2,540 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in Minnesota
- Deloitte6 open
- CDM Smith5 open
- UnitedHealth Group4 open
- Experience
- Data Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,043 postings).
- Education
- 1,174 of the 2,540 open Data Analytics jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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