Data and Analytics Internship - Summer 2027

We are excited to announce our 2027 Internship Program! The program is designed to offer you meaningful work that will prepare you for your career. You’ll get to see first-hand how our corporate teams develop strategies and practices that support our retail and manufacturing partners, and customers worldwide.

This position offers a hybrid work structure. Candidates must live within a commutable distance of Red Wing, MN, as the role requires onsite work on Tuesdays and Wednesdays. Interns will generally work 40 hours per week, Monday through Friday, during core business hours. The typical schedule includes a shorter workday on Fridays, often ending around 1:00 p.m., though schedules may vary based on business needs.

Compensation is $25/hr.

What to Expect:

The intern will experience a cross-functional Data & Analytics internship spanning BI data solutions and business-facing insights. The experience will build an end-to-end understanding of how trusted data moves from backend structures into governed semantic models, Power BI reports, and emerging AI-enabled analytics experiences. The intern's primary capstone will be to evaluate a practical Red Wing Shoe Company analytics use case for AI, develop a focused proof of concept, and present a recommendation that addresses business value, governance, risk, access, and ongoing ownership. 

As a Data and Analytics Intern, you will:

• Build foundational data and analytics skills through hands-on experience with SQL Server, learning how data is structured, validated, and transformed to support business reporting.

• Design and develop Power BI dashboards and visualizations that help business stakeholders understand revenue performance and make informed decisions.

• Gain practical experience with Microsoft Fabric and the Power BI ecosystem, including semantic models, data relationships, workspace management, deployment practices, and report optimization.

• Apply business analysis and data storytelling techniques to translate business questions into actionable insights, recommendations, and dashboard requirements.

• Explore emerging AI capabilities in the data and analytics space, culminating in the development and presentation of an AI proof of concept that delivers measurable business value while addressing governance, security, and adoption considerations.