Senior Analyst, Quantitative Research

About the role

The Home Depot is hiring a Senior Analyst, Quantitative Research to support its Retail Media and Digital Monetization business. The role applies advanced quantitative and analytical techniques to build quantitative models and capabilities, and to drive data-driven insights and strategies around pricing, yield management and revenue optimization of ad units. It sits within a small, highly visible team reshaping digital advertising in the world's largest home improvement retailer.

Key responsibilities

• Analyze data, conduct research and turn feedback into plans, processes and playbooks
• Build and maintain data infrastructure (Python notebooks, data pipelines, aggregated data sets, reports and dashboards) to monitor operations and drive business understanding
• Execute and maintain analytical tools and models to support production
• Run analytics to measure effectiveness and improve operations through strategic partnerships and insights
• Translate business questions into actionable insights and design new analytical capabilities with cross-functional partners
• Report to a Senior Manager with no direct reports; typical overnight travel under 10%

Required profile

• Age 18 or older and legally permitted to work in the United States
• Demonstrated business and financial modeling capability with tools such as Excel and Access
• Demonstrated ability to apply statistical analysis principles to business challenges
• Strong communication, interpersonal and analytical skills, attention to detail, and ability to help others and provide on-the-job guidance
• Bachelor's degree or equivalent in a related field
• Preferred: Master's degree in a quantitative field or relevant experience, 3+ years in advanced analytical techniques, machine learning and predictive modeling, and prior experience in retail and digital advertising (pricing strategy, yield management, digital monetization)

Required skills

• Excel and Access
• Statistical analysis and data modeling
• Preferred: Python, SQL, data visualization tools, database management, and ad-tech platform familiarity