Intern Data Analytics

Posted 2 Hours Ago
Be an Early Applicant
5 Locations
In-Office
20-21 Annually
Internship
Fintech • Financial Services
The Role
Paid data analytics internship focused on collecting, querying, modeling, and analyzing financial strength, creditworthiness, and macroeconomic data. The intern will support business decision-making, cost containment, operational efficiency, and team projects while using SQL, R, Python, SAS, Excel, Power BI, and AI tools. The role is part-time during the school year and full-time in summer 2027, with hybrid work available from designated Minnesota, Wisconsin, or Illinois offices.
Summary Generated by Built In

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 visit www.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 juniors or non-graduating seniors in college. The intern will learn how to query, model, and analyze data, regarding the financial strength and credit worthiness of clients. 

A typical day: 

  • Collect, model, and analyze data to support business decision-making.
  • Partner with internal Compeer data focused on financial strength and creditworthiness, as well as external macroeconomic datasets. 
  • Contribute to key team projects, either collaboratively or independently.
  • Assist in initiatives focused on cost containment and operational efficiency.
  • Utilize tools such as SQL, R, Python, SAS, and Microsoft Excel.
  • Utilize AI tools to research 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 degree in Data Science, Computer Science, Economics, Mathematics, or a related field.
  • Coursework or experience in data analytics, modeling, or financial analysis 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

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.

Click here to view federal employment laws applicable for applicants.

Skills Required

  • Must be working toward completing a bachelor's degree in Data Science, Computer Science, Economics, Mathematics, or a related field.
  • Must be authorized to work for any employer in the United States.
  • Coursework or experience in data analytics, modeling, or financial analysis.
  • Proficiency in Power BI, Python, R, Microsoft Excel, AI tools, or other data analytics tools.
  • Ability to work collaboratively in a team environment and deliver excellent client service.
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The Company
HQ: Sun Prairie, WI
853 Employees
Year Founded: 2017

What We Do

SmartStream is a recognised leader in financial transaction management solutions that enables firms to improve operational control, reduce costs, build new revenue streams, mitigate risk and comply accurately with regulations. By helping its customers through their transformative digital strategies, SmartStream provides a range of solutions for the transaction lifecycle with artificial intelligence and machine learning technologies embedded - which can also be deployed in the cloud or as managed services. As a result, more than 2,000 clients—including 70 of the world’s top 100 banks, rely on SmartStream Transaction Lifecycle Management (TLM®) solutions to deliver greater efficiency to their operations.

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