Hybrid Data Analytics Intern - Growth & Mentorship

Compeer Financial

Mankato (MN)

Hybrid

USD 28,000 - 29,000

Full time

22 hours ago
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Benefits offered by this job

Hybrid work model
Flexible schedules
401k match
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Wellness program
EAP
Vacation & holidays

Job summary

Compeer Financial invites undergraduate juniors, non-graduating seniors or graduate students to join a hands-on Data Analytics internship. You will learn to query, model, and analyze financial data to support business decisions and assess client credit worthiness using SQL, Python, R and Excel.

The role offers a hybrid work model with flexible schedules and opportunities for learning, mentorship, and potential full-time opportunities.

Qualifications

  • Working toward 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 preferred.
  • Proficiency in PowerBI, Python, R, Excel, AI tools or other data analytics tools.

Responsibilities

  • Collect, model, and analyze data to support business decision-making.
  • Partner with others to use internal data to answer business questions with analytics and modeling.
  • Contribute to key team projects, collaboratively or independently.
  • Assist initiatives focused on cost containment and operational efficiency.
  • Utilize SQL, Python, R and Microsoft Excel in daily work.
  • Explore potential full-time career opportunities.

Skills

PowerBI
Python
R
Microsoft Excel
AI tools
SQL

Education

Bachelor’s or Master’s degree in Data Science/CS/ Economics/Math/Statistics/Data Analytics

Job description

Compeer Financial invites undergraduate juniors, non-graduating seniors or graduate students to join a hands-on Data Analytics internship. You will learn to query, model, and analyze financial data to support business decisions and assess client credit worthiness using SQL, Python, R and Excel.

The role offers a hybrid work model with flexible schedules and opportunities for learning, mentorship, and potential full-time opportunities.

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