Analytics/Data Science Master's Level Internship (Summer 2026 - Hybrid/In-Office)

With a career at The Home Depot, you can be yourself and also be part of something bigger.

**Internship format will be 4 days a week in office (Monday - Thursday & Friday's Remote) 

Internship Overview 

The Analytics & Data Science Intern Program offers talented college students the opportunity to develop their advanced data analytics & data science skills while supporting the Company’s strategic objectives. During an 11 – week period from May 18 - July 31, 2026, intern candidates are assigned to a project aligned to Finance.  The Home Depot’s internship program was recently named in the Top 20 in the US and offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. Data Analytics & Data Science interns will focus on working with a variety of roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.  

What makes a Great Intern:  

• Action Oriented: Intern takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm 

• Manages Ambiguity: Intern effectively navigates and thrives in uncertain situations while using sound judgment to make decisions without having the full picture. Is able to move work forward without all the details 

• Collaboration: Intern contributes to the group’s efforts and steps forward to help as needed. Seeks input from others 

• Nimble Learning: Intern actively learns through experimentation when tackling new problems, using both successes and failures as learning fodder 

• Communication: Intern develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audience 

• Customer Focus: Intern builds strong customer relationships and delivers customer-centric solutions 

• Drives Results: Evaluates information to make logical decisions and achieve results despite potential challenges or setbacks. 

Key Responsibilities: 

Business Collaboration  

• Participate in meetings across the enterprise data science & data analytics community, gaining exposure to cross functional business units.   

• Build networking relationships and receive mentoring from team members and top-level management  

Communicating Results  

• Communicate findings and project status clearly and professionally through presentations  

• Provide recommendations to upper management.   

• Provide comprehensive report-out to senior leaders on assignments and other related projects  

Data Analytics         

• Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions  

• Apply a wide variety of database applications and analytical tools, including SQL, Google BigQuery and Python  

Preferred Qualifications  

• Working knowledge of Microsoft Office Suite  

• Working knowledge of Tableau