Senior Analyst, Decision Analytics

The Home Depot • Atlanta, GA

23h

About The Position

The Senior Analyst, Decision Analytics assists in developing advanced analytics to support The Home Depot’s strategic objectives. The role builds analytics and reporting for Merchandising, Inventory, Offshelf Events, and FP&A partners. It rebuilds legacy reporting into clean, trusted models that deliver sharper insights and owns recurring close-period support, weekly ELT reporting, and other recurring partner reporting. The Senior Analyst uses AI, SQL, and modern tooling to deepen insights and accelerate analysis, manages multiple priorities, and communicates clearly with senior stakeholders. The position typically requires overnight travel less than 10% of the time and reports to a Manager. It has no direct reports.

Requirements

• Must be at least 18 years of age.
• Must be legally permitted to work in the United States.
• A bachelor's degree or equivalent degree in a field related to the job, or the knowledge, skills, and abilities typically acquired through completion of such a degree program.
• At least 2 years of work experience.
• Experience in SQL, SAS, Tableau, R, Python, or similar tools is preferred.
• Experience building queries and simplifying complex queries is preferred.
• Experience working with AI is preferred.
• Experience working with stakeholders or cross-functionally with other teams is preferred.
• Experience in retail merchandising, inventory, or FP&A is preferred.

Nice To Haves

• Master's degree in Analytics, Finance, Information Systems, or a related field.
• 2–3 years of experience in analytics.
• Experience in SQL, SAS, Tableau, R, Python, or similar tools.
• Experience building queries and simplifying complex queries.
• Experience working with AI.
• Experience working with stakeholders or cross-functionally with other teams.
• Experience in retail merchandising, inventory, or FP&A.

Responsibilities

• Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high-quality analytics solutions.
• Analyze large volumes of data using database applications and analytical tools, including SQL, SAS, R, and Python.
• Cleanse, validate, and test data.
• Enhance and modify systems and procedures.
• Support end users through problem solving and troubleshooting.
• Build analytics and reporting for Merchandising, Inventory, Offshelf Events, and FP&A partners.
• Rebuild legacy reporting into clean, trusted models.
• Own recurring close-period support, weekly ELT reporting, and other recurring partner reporting.
• Use AI, SQL, and modern tooling to develop insights and accelerate analysis.

What This Job Offers

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