Intern - Data Analyst (Summer 2027)

Commerce Bank

Hours: Full time
Where: MO - Kansas City Downtown/Plaza - Kansas City - KC Downtown Trust Building (922 Walnut) (64106)
Posted: Sep 25

Building a career here is more than just steps on a ladder. It’s about helping people find financial safety and success, helping businesses thrive, and making sure people and their money are taken care of. And our commitment doesn’t stop there. Our culture is about our people, the ones in our communities and the ones that work with us.

Here, you’ll find opportunities to grow and learn, to connect with others, and build relationships with the people around you. You’ll have the space and resources to grow into the best version of yourself. Because our number one investment is you.

Creating an award-winning culture doesn't come easy. And after 160 years, we know Commerce Bank is only at its best when our people are.

What you'd do

Write efficient data queries to varied types of products and customer analysis.
Develop dashboards and analysis to support consumer lines of business requests.
Compile data analysis and reporting for data analysts.
Present data analysis summary results to team members and business line leadership.
Perform other duties as assigned.
Monday-Friday, 8:00am-5:00pm
Mostly Remote

What they want

Motivated to learn and apply data analysis concepts in real-world use cases.
Organized; self-starter with strong attention to detail and the ability to manage multiple priorities.
Inquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skills
Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values
Basic level proficiency with Microsoft Word, Excel, and Outlook
Prefer a sophomore/junior with an Information Systems, Computer Science, Data Analytics, or related major.
PC Skills include Microsoft Office with basic proficiency in Excel.
Basic understanding of SQL is strongly preferred.
Exposure to Python, Microsoft PowerBI, Tableau, or data engineering concepts is a plus.

Starts: 2026-09-25