Sr. Analyst, Marketing Science

The Home Depot; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

The Home Depot is seeking a Senior Analyst, Marketing Science to drive analytics for marketing investments. You will advance MMM and incrementality testing, design robust experiments, and ensure data integrity across pipelines.

Collaboration with leadership, media agencies, and platform teams is essential to translate modeling results into actionable investment guidance. Ideal candidates combine econometric expertise with hands-on SQL/Python/R skills and a track record delivering high-impact

Qualifications

• 5+ years of statistical analysis, data mining, econometrics, forecasting and marketing analytics.
• Experience with experimental design and causal inference in marketing.
• Strong SQL, Python/R skills with data manipulation and modeling.

Responsibilities

• 65% - Data Analytics - Analyze data and build dashboards using BigQuery, SQL, SAS, R, Python, Tableau.
• 10% - Data Management - Cleanse and validate data with decision analysts.
• 5% - Project Management & Support - Help end users and troubleshoot issues.
• 15% - Solution Development - Deliver analytics solutions with stakeholders.
• 5% - Technical Exploration & Development - Develop competencies and system improvements.

Skills

Statistical analysis

Data mining

Econometrics

Forecasting

Marketing analytics

Experimental design

Causal inference

Cross-functional collaboration

Data pipelines

Attention to detail

Education

Bachelor’s degree in a quantitative field

Master’s degree in Statistics / Econometrics / Analytics / CS

Tools

SQL

Python/R

Vertex AI

AutoML

Adobe Analytics

Adobe Target

Tableau

BigQuery

Jupyter Notebook

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Senior Analyst, Marketing Science is a key analytical driver guiding how The Home Depot evaluates, optimizes, and allocates its marketing investments. In this role, you will steer the ongoing advancement and operational execution of our enterprise measurement ecosystem—anchored by enterprise Marketing Mix Modeling (MMM) and comprehensive incrementality experimentation. Serving as the analytical connective tissue between internal leadership, media buying agencies, platform teams, and specialized measurement partners, you will design rigorous tests, ensure data pipeline integrity, and calibrate modeled outputs with empirical, ground-truth experiment results.

Success in this position requires a practitioner’s understanding of econometric principles, Bayesian statistics, and causal inference to evaluate model mechanics, audit underlying assumptions, and actively partner with direct leadership to evolve our enterprise modeling capabilities. The ideal candidate pairs deep technical comfort with data manipulation (SQL, Python/R) and hands-on experience designing and running marketing experiments, with broad media landscape fluency and cross-functional partner management skills, turning complex econometric and experimental findings into clear, high-impact investment strategies.

Key Responsibilities:

• 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
• 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
• 5% - Project Management & Support - Supports end users, solve problems and troubleshoots numerous issues.
• 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
• 5% - Technical Exploration & Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.

Direct Manager/Direct Reports:

• This position reports to the Manager
• This position has 0 direct reports

Travel Requirements:

• No travel required.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• Master’s degree in a quantitative field (Statistics, Econometrics, Analytics, Computer Science, etc.) or equivalent relevant work experience.
• 5+ years of experience in statistical analysis, data mining, econometrics, forecasting, and marketing/media analytics.
• Expertise in experimental design and causal inference (e.g., geo-lift, matched-market tests, synthetic controls, holdouts) with hands-on experience executing marketing experiments.
• Strong understanding of Marketing Mix Modeling (MMM) mechanics, with experience calibrating econometric models using empirical test results.
• Proficiency coding in SQL, Python/ R, and utilization of Vertex AI, and AutoML.
• Experience with web analytics and testing tools (e.g., Adobe Analytics, Adobe Target) and data visualization tools (Tableau).
• Demonstrated ability to partner with cross-functional teams to build KPI frameworks, identify core insights, and solve complex business problems.
• Proven track record of managing multiple projects in a fast-paced environment while coordinating deliverables across media agencies, platform teams, and measurement partners.
• Strong critical thinking skills to evaluate the strengths and weaknesses of alternative solutions and forester the broader implications for strategic decision-making.
• Strong interpersonal and communication skills, with the ability to actively collaborate, influence stakeholders, and explain complex technical concepts in an easily understood way.
• Demonstrated agility to quickly learn and adapt to new technologies, analytical tools, and measurement techniques. environment.

Minimum Education:

• 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.

Preferred Education:

• The knowledge, skills and abilities typically acquired through the completion of a master’s degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:

• 5

Preferred Years of Work Experience:

• 6

Competencies:

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict