INTERNSHIP DETAILS

Data Analytics Intern - Summer 2027

CompanyHy-Vee, Inc.
LocationWest Des Moines
Work ModeOn Site
PostedSeptember 4, 2026
Internship Information
Core Responsibilities
The intern will collaborate with team members on business projects and leverage data to understand in-store and digital customer trends. Responsibilities include gathering and aggregating data, building models, and presenting findings to the team.
Internship Type
part time
Company Size
18210
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Hy-Vee, Inc. is an employee-owned corporation operating more than 563 business units across nine Midwestern states with sales of more than $13 billion annually. The supermarket chain is synonymous with quality, variety, convenience, healthy lifestyles, culinary expertise and superior customer service. Hy-Vee was recently named the No. 1 grocery store in America by USA TODAY. The company’s more than 75,000 employees provide “A Helpful Smile in Every Aisle” to customers every day.
About the Role

Additional Considerations (if any):

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At Hy-Vee our people are our strength. We promise “a helpful smile in every aisle” and those smiles can only come from a workforce that is fully engaged and committed to supporting our customers and each other.

Job Description:

Data Analytics Intern - Summer 2027

We’re looking for geniuses. Dreamers. Inventors. Innovators. People with the will to get stuff done. Doers who’ll rip an idea out of thin air. Make it a reality. Own it. And amaze their peers.

Sound like you? Welcome home.
 

Hy-Vee is looking for a Data Analytics Intern to join our team. This position will be responsible for collaborating with team members on key business projects, learning key skills for a career in data science, and become a contributing member to the team.  You will leverage first and third party data to understand in-store and digital trends for how customers interact with our business. Work as part of a team focused on making our customers’ lives Easier, Healthier, and Happier.

We are looking for a bright, inquisitive mind who is passionate about leveraging data to drive action in a fast-paced retail environment. Someone who loves to ask “why”, connect the dots, and understands the power of data will thrive in this position.

KEY RESPONSIBILITIES

  • Pairs with team members to define questions of interest relating to brand managers, product owners, consumer researchers, and leadership
  • Experience the CRISP-DM processes in the real world
  • Create code for the gathering, merging and aggregating of data
  • Gain experience with fundamental exploratory data analysis and transformations using R and/or Python
  • Build, evaluate, and iterate on models solving for initial business problem
  • Create visualizations & present findings of work to the team
  • Learn how to prepare reproducible, structured code for the entire data science pipeline

KNOWLEDGE, SKILLS AND EXPERIENCE

  • Working towards BA/BS degree in a STEM field, with a graduate degree preferred
  • Excellent written and verbal communication skills
  • Experience in writing SQL for SQL Server; Google BigQuery preferred
  • Knowledge and experience of statistical software (R and/or Python) preferred
  • Experience with reporting software (PowerBI, DataStudio)

About Hy-Vee, Inc.
Hy-Vee, Inc. is an employee-owned corporation operating more than 550 business units across nine Midwestern states with sales of $12 billion annually. The supermarket chain is synonymous with quality, variety, convenience, healthy lifestyles, culinary expertise and superior customer service. Hy-Vee ranks in the Top 10 Most Trusted Brands and has been named one of America’s Top 5 favorite grocery stores. The company’s more than 80,000 employees provide “A Helpful Smile in Every Aisle” to customers every day. For additional information, visit www.hy-vee.com

Are you ready to smile, apply today.  

Employment is contingent upon the successful completion of a pre employment drug screen.

Key Skills
Data AnalyticsSQLRPythonPowerBIDataStudioGoogle BigQueryExploratory Data AnalysisData VisualizationCRISP-DMStatistical SoftwareData PipelineCommunication Skills
Categories
Data & AnalyticsRetailTechnologySoftware