Data Analytics Intern: Turn Data into Action

Hyvee.io; West Des Moines (IA); On-site; USD 13,000 - 27,000; Full time

Job summary

Hy-Vee is seeking a Data Analytics Intern for Summer 2027 in West Des Moines, IA. You will collaborate on key business projects, learn data science skills, and contribute to the team by analyzing in-store and digital trends to improve customer experiences. A curious, proactive mindset and passion for data are essential.

You will work with SQL, Python/R, and BI tools to prepare data, build models, and present insights to stakeholders in a fast-paced retail environment.

Qualifications

• Working toward a BA/BS 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)

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

Skills

Communication skills

SQL (SQL Server)

Python/R basics

Education

BA/BS in STEM (pursuing; graduate degree preferred)

Tools

PowerBI

DataStudio

Google BigQuery

SQL Server

Job description

Hy-Vee is seeking a Data Analytics Intern for Summer 2027 in West Des Moines, IA. You will collaborate on key business projects, learn data science skills, and contribute to the team by analyzing in-store and digital trends to improve customer experiences. A curious, proactive mindset and passion for data are essential.

You will work with SQL, Python/R, and BI tools to prepare data, build models, and present insights to stakeholders in a fast-paced retail environment.