Sr. Analyst, Marketing Science

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 in Atlanta to guide the evaluation and optimization of marketing investments. You will advance MMM and causal experiments, translate econometric findings into actionable strategies, and partner with leadership, agencies, and platform teams.

Ideal candidates will have advanced econometrics and Bayesian methods, strong SQL/Python skills, and hands-on experience in marketing experiments and data manipulation.

Qualifications

• Master’s degree or equivalent in a quantitative field.
• 5+ years in statistical analysis, data mining, econometrics, forecasting, and marketing analytics.
• Experience with experimental design and causal inference in running marketing experiments.
• Strong SQL, Python/R skills and experience with data visualization tools.
• Experience calibrating econometric models using empirical test results.

Responsibilities

• 65% Data analytics: build dashboards/reports using BigQuery, SQL, SAS, R, Python, Jupyter, Adobe Analytics, Tableau.
• 10% Data management: cleanse/validate data with decision analysts.
• 5% Project management & support: troubleshoot issues for end users.
• 15% Solution development: deliver high-quality analytics solutions with stakeholders and partners.
• 5% Tech exploration & development: expand technical competencies within the group.

Skills

Econometrics

Bayesian statistics

Causal inference

Marketing analytics

Cross-functional collaboration

Education

Bachelor’s degree

Master’s degree

Tools

GCP BigQuery

SQL

SAS

R

Python

Jupyter Notebook

Adobe Analytics

Tableau

Vertex AI

AutoML

Job description

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 foresee 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

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00