Analytics/Data Science Master's Level Internship

**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 

• Working knowledge of presentation software (e.g., Microsoft PowerPoint) 

• Excellent academic performance 

• Experience in a modern scripting language (preferably Python) 

• Experience running queries against data (preferably with Google BigQuery or SQL) 

• Experience with data visualization software (preferably Tableau) 

• Exposure to statistics, predictive modeling and other data science methodologies 

• Preferred GPA 3.0 or above 

Description of Roles: (Career paths that utilize this skillset full-time) 

At The Home Depot, our associates always have room to move up and explore new opportunities. After the Internship, here are some examples of early career roles for interns with a background in Data Analytics & Data Science:  

• Senior Analyst, Decision Analytics

• Senior Data Analyst

• Associate Data Scientist  

Location: Interns will be expected to work in-person at the Atlanta Corporate Office (Store Support Center) four days a week (Monday-Thursday) and will work remotely one day a week (Fridays) during the 11-week program. Housing assistance will be provided to eligible interns.

Direct Manager/Direct Reports:

• Typically reports to Manager

• No responsibility for supervising others.

Travel Requirements:

• Typically requires overnight travel less than 10% of the time.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.

• Must be legally permitted to work in the United States.

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree