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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling, causal inference, and Media Mix Modeling, with a strong ability to translate complex analytical findings into actionable business insights. Proficient in developing scalable analytical solutions and collaborating cross-functionally to drive marketing measurement strategies.
Highest-signal resume keywords
Statistical ModelingCausal InferenceMedia Mix ModelingPython ProgrammingSQL Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingCausal InferenceMedia Mix ModelingExperiment DesignModel ValidationIncrementalityAttributionData AnalysisAnalytical Solutions DevelopmentQuantitative Analysis
Soft Skills
Strong CommunicationStorytelling SkillsCollaborationInfluence LeadershipTechnical Direction
Industry Keywords
Marketing MeasurementIncremental Marketing ImpactAnalytical RoadmapsCross-Functional PartnershipBusiness Insights
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead development and advancement of Media Mix Modeling and marketing measurement methodologies
- Develop, validate, automate, and interpret models
- Design and analyze experiments and causal inference studies at geo, store, and customer levels
- Quantify incremental marketing impact
- Build frameworks connecting experimental evidence with observational and MMM measurement
- Apply advanced statistical and causal methods to customer behavior, media performance, and marketing incrementality questions
- Translate technical findings into business insights and strategic recommendations for senior stakeholders
- Partner cross-functionally with Marketing, Finance, and analytics teams
- Identify high-impact measurement opportunities
- Define analytical roadmaps and develop scalable solutions
Requirements
What you’ll need- Advanced degree in Statistics, Economics, Data Science, or a related quantitative field, or equivalent experience
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field
- Option 3: 7 years' experience in an analytics or related field
- Deep expertise in statistical modeling and causal inference
- Hands-on experience in experiment design and measurement
- Hands-on experience developing Media Mix Models, including model validation, response curves, incrementality, and attribution
- Strong programming skills in Python and SQL with vibe coding
- Ability to independently develop and evaluate analytical solutions
- Strong communication and storytelling skills
- Ability to explain sophisticated methodologies and findings to non-technical and senior audiences
- Ability to lead through influence, collaborate across functions, and provide technical direction
- Eligibility for benefits may depend on job classification and length of employment
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Vacation, sick leave, and holiday time through PTO and/or PPTO
- Live Better U Walmart-paid education benefit program
- Tuition, books, and fees completely paid for eligible education programs
