Senior Analyst, Analytics & Insights

Home Depot • Atlanta, GA

13d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior Analyst, Analytics & Insights will be a key member of a high-impact team focused on unlocking $80M+ in business value through data-driven insights, scalable tools, and supplier enablement strategies. This role goes beyond reporting—it requires a curious, analytical thinker who can explore data, form hypotheses, challenge assumptions, and translate findings into action. This individual will support and scale analytics across existing assortment and supplier health, gaps in assortment and supplier coverage, and competitive pricing. They will also contribute to goal tracking, performance metrics, and Weekly Business Review (WBR) reporting, including operational KPIs such as speed and customer experience. The ideal candidate will be comfortable navigating ambiguity, using modern tools and technologies—including AI and machine learning—to identify opportunities, automate insights, and drive strategic decisions.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
• 2 years of work experience

Nice To Haves

• Experience with Python and tools like Jupyter Lab
• Exposure to product development or product-oriented thinking.
• Background in accounting or finance , especially in merchant-facing roles.
• Experience developing or collaborating on software or web applications ; ability to communicate effectively with technical teams.

Responsibilities

• Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions
• Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python
• Data cleansing, validation, testing
• Enhancements / modifications to systems & procedures
• Supporting end users, problem solving, troubleshooting

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level