Senior Quantitative Research Analyst, Retail Media & Pricing

The Home Depot; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

The Home Depot is seeking a Sr. Analyst to support Retail Media and Digital Monetization. You will develop quantitative models and analytics to optimize ad revenue, pricing, and yield.

The role involves building data pipelines, dashboards, and actionable insights through cross-functional partnerships. The ideal candidate has strong statistical analysis skills, proficiency in Python/SQL, and experience with data visualization.

Qualifications

• Bachelor's degree or equivalent required.
• Strong background in statistical analysis and quantitative modeling.
• Experience with Excel and Access for financial/data analysis.
• Demonstrated communication and interpersonal skills.
• Ability to work collaboratively and influence cross-functional teams.
• Self-starter with strong attention to detail.

Responsibilities

• Build and maintain quantitative models for Retail Media.
• Analyze data and translate insights into plans and playbooks.
• Create data infrastructure: Python notebooks, pipelines, dashboards for monitoring performance.
• Develop analytical tools and models to support production processes.
• Measure effectiveness of operations and drive improvements through data-driven insights.

Skills

Excel

Access

Statistical analysis

Communication

Interpersonal skills

Self-starter

Analytical skills

Teamwork

Education

Bachelor's degree

Master's degree (preferred)

Tools

Python

SQL

Data visualization tools

Job description

The Home Depot is seeking a Sr. Analyst to support Retail Media and Digital Monetization. You will develop quantitative models and analytics to optimize ad revenue, pricing, and yield.

The role involves building data pipelines, dashboards, and actionable insights through cross-functional partnerships. The ideal candidate has strong statistical analysis skills, proficiency in Python/SQL, and experience with data visualization.