Hybrid Data Analytics Intern — AI & Insights

Compeer Financial; Bloomington (IL); Hybrid; USD 28,000 - 29,000; Part time

Benefits offered by this job

Hybrid work model

Flexible schedules

9% 401k match

Medical insurance

Dental insurance

Vision insurance

HSA/FSA

Life insurance

AD&D insurance

Disability insurance

Wellness program

Volunteer time off

Learning & development programs

Mentorship programs

Certification reimbursement

Job summary

Compeer Financial in Bloomington, IL is offering a paid data analytics internship designed for undergraduates or grads. The role focuses on querying, modeling, and analyzing financial data to assess client creditworthiness and business analytics questions.

You'll collect and analyze data, collaborate with teams, and use SQL, Python, R, PowerBI, and Excel. The internship runs part-time during the school year and full-time in summer 2027, with a hybrid work setup.

Qualifications

• Pursuing a bachelor's or master's in a relevant data field.
• Experience in data analytics, modeling, or financial analysis preferred.
• Proficient with PowerBI, Python, R, Excel, and AI tools.

Responsibilities

• Collect, model, and analyze data to support decisions.
• Use internal data to answer business questions with analytics.
• Collaborate on team projects and contribute independently.
• Assist in cost containment and operational efficiency initiatives.
• Use SQL, Python, R, and Excel in daily work.
• Explore and apply AI tools to improve work products.
• Develop professional relationships and explore future opportunities.

Skills

Team collaboration

Client service

Education

Bachelor's or Master's in Data Science/CS/Economics/Math/Statistics or related

Tools

PowerBI

Python

R

Microsoft Excel

AI tools

Job description

Compeer Financial in Bloomington, IL is offering a paid data analytics internship designed for undergraduates or grads. The role focuses on querying, modeling, and analyzing financial data to assess client creditworthiness and business analytics questions.

You'll collect and analyze data, collaborate with teams, and use SQL, Python, R, PowerBI, and Excel. The internship runs part-time during the school year and full-time in summer 2027, with a hybrid work setup.