Sr. Analyst, Marketing Science

Home Depot • Atlanta, GA

6d

About The Position

The Senior Analyst, Marketing Science guides how The Home Depot evaluates, optimizes, and allocates marketing investments. The role advances and operationally executes the enterprise measurement ecosystem, centered on Marketing Mix Modeling (MMM) and incrementality experimentation. It connects internal leadership, media buying agencies, platform teams, and measurement partners by designing rigorous tests, ensuring data pipeline integrity, and calibrating modeled outputs against experimental results. The position applies econometric principles, Bayesian statistics, and causal inference to evaluate model mechanics, audit assumptions, and help evolve enterprise modeling capabilities. It also translates complex analytical findings into actionable investment strategies.

The role analyzes large volumes of data and creates dashboards, reports, and ad hoc analyses using tools including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau. It collaborates with decision analysts to explore, cleanse, validate, and test data; supports end users and troubleshoots issues; works with stakeholders and technical partners to deliver analytics solutions; and develops technical competencies and subject matter expertise.

The position reports to the Manager and has no direct reports. No travel is required. Work is performed in a comfortable indoor area, primarily sitting, with frequent opportunity to move about and only rare need to move or lift light articles. Candidates must be at least 18 years old and legally permitted to work in the United States.

Requirements

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• At least 5 years of work experience.
• Bachelor's degree or equivalent in a field of study related to the job.
• Expertise in experimental design and causal inference, with hands-on experience executing marketing experiments.
• Strong understanding of Marketing Mix Modeling mechanics and experience calibrating econometric models using empirical test results.
• Proficiency in SQL and Python or R.
• Demonstrated ability to partner cross-functionally to build KPI frameworks, identify insights, and solve complex business problems.
• Ability to manage multiple projects in a fast-paced environment and coordinate deliverables across media agencies, platform teams, and measurement partners.
• Strong critical thinking, interpersonal, and communication skills, including the ability to explain technical concepts clearly.
• Ability to learn and adapt to new technologies, analytical tools, and measurement techniques.

Nice To Haves

• Master's degree in a quantitative field such as Statistics, Econometrics, Analytics, or Computer Science, or equivalent relevant work experience.
• Experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
• Experience with geo-lift, matched-market tests, synthetic controls, or holdouts.
• Experience with Vertex AI and AutoML.
• Experience with web analytics and testing tools such as Adobe Analytics and Adobe Target, and data visualization tools such as Tableau.

Responsibilities

• Analyze large volumes of data and use analytics tools to create dashboards, reports, and ad hoc analyses.
• Collaborate with decision analysts to explore data sources and cleanse, validate, and test data.
• Support end users, solve problems, and troubleshoot issues.
• Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high-quality analytics solutions.
• Develop technical competencies and subject matter expertise, including enhancements or modifications to systems and procedures.
• Design and execute marketing experiments and calibrate modeled outputs with empirical experiment results.
• Help advance and operationally execute the enterprise measurement ecosystem, including Marketing Mix Modeling and incrementality experimentation.
• Translate econometric and experimental findings into investment strategies.

What This Job Offers

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