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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, statistical methods, and forecasting to drive insights and improve data quality. Proficient in SQL and Python or R, with a strong ability to translate complex business requirements into actionable recommendations.
Highest-signal resume keywords
Data AnalysisSQLPythonStatistical MethodsData Storytelling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical MethodsForecastingRoot-Cause AnalysisData QualityMetric DevelopmentExploratory AnalysisComplex DatasetsData ValidationAnalytical Approaches
Soft Skills
CommunicationData Storytelling
Industry Keywords
MerchandisingRetailInventory AnalyticsSupply Chain Analytics
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze data across planning, assortment, purchase order execution, inventory flow, fulfillment, and store execution
- Connect upstream decisions with downstream outcomes
- Identify performance drivers and opportunities
- Develop trusted metrics and data assets by reconciling sources, validating business logic, and improving data quality
- Apply exploratory analysis, statistical methods, and forecasting to complex merchandising questions
- Translate findings into visualizations and recommendations
- Own analytical work from problem definition through delivery
- Partner with Merchandising, Product, Engineering, and Data teams to develop and implement scalable solutions
Requirements
What you’ll need- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field; OR
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR
- 4 years' experience in data analysis, data science, statistics, or related field
- Strong SQL skills
- Proficiency in Python or R
- Experience working with large, complex datasets
- Experience with exploratory analysis, statistical methods, forecasting, and root-cause analysis
- Strong understanding of data quality, profiling, validation, and metric development
- Ability to translate complex business requirements into structured analytical approaches and actionable insights
- Strong communication and data storytelling skills
- Experience in merchandising, retail, inventory, or supply chain analytics is preferred
Benefits
Comp & perks- Performance-based bonus awards
- Medical coverage
- Vision coverage
- 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
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit program
- Fully paid tuition, books, and fees for eligible education programs
- English Language Learning and short-form certificate programs
- Additional stock compensation for certain positions
