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Sr. Analyst, Marketing Science

Home Depot

Atlanta, GAFull-timePosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
Atlanta, GA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Analyst, Marketing Science guides how The Home Depot evaluates, optimizes, and allocates marketing investments. The role advances and executes the enterprise measurement ecosystem, including Marketing Mix Modeling and incrementality experimentation. It designs tests, ensures data pipeline integrity, and calibrates modeled outputs against experiment results while partnering with leadership, agencies, platform teams, and measurement partners to turn findings into investment strategies.

Skills & qualifications

RequiredNice to have

Skills

Statistical AnalysisData MiningEconometricsForecastingMarketing AnalyticsMedia AnalyticsExperimental DesignCausal InferenceMarketing ExperimentsMarketing Mix ModelingSQLPythonRVertex AIAutoMLWeb AnalyticsAdobe AnalyticsAdobe TargetTableauKPI FrameworksCritical ThinkingCommunicationCollaborationStakeholder InfluenceAdaptability

Qualifications

Must Be 18+Legally Permitted to Work in USMaster's in Quantitative Field or Equivalent5+ Years Statistical Analysis ExperienceBachelor's Degree or EquivalentMaster's Degree5 Years Work Experience

Full 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 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

How this job compares

Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • Georgia median$110–188K/yr44 salary ranges
  • US median$23–32/hr190 hourly ranges
Openings
Olive Jobs lists 82 open Data Analytics jobs in Georgia and 2,444 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Georgia
Experience
This posting asks for at least 5 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,902 postings).
Education
1,190 of the 2,444 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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