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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytics, predictive modeling, and statistical analysis to drive business decisions. Proficient in SQL and Python, with a strong ability to translate complex data insights into actionable recommendations for leadership and merchandising.
Highest-signal resume keywords
Advanced AnalyticsPredictive ModelingSQLPythonStatistical Analysis
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 AnalyticsPredictive AnalyticsStatistical AnalysisMachine LearningForecastingAnomaly DetectionDriver AnalysisReporting DashboardsAI-Assisted DevelopmentData Mining
Soft Skills
Executive-Level StorytellingPresentation SkillsAnalytical Thought Leadership
Tools & Technologies
AI-Assisted IDEsCLI Coding Agents
Certifications & Qualifications
Certificate in Business AnalyticsCertificate in Data MiningCertificate in Statistical Analysis
Industry Keywords
MerchandisingBusiness ImpactActionable AnalyticsBusiness Decisions
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead development and execution of sophisticated data models and analytical solutions
- Translate ambiguous business questions into trusted insights, recommended actions, and measurable business impact
- Manage end-to-end projects from rapid prototyping through validated, actionable analytics
- Deliver advanced analytics to merchants and leadership
- Conduct driver analysis, forecasting, predictive modeling, anomaly detection, and opportunity identification for Merchandising
- Provide analytical thought leadership across the organization and to senior leaders
- Use AI-assisted development to accelerate analysis while validating outputs
- Match analytical depth and statistical or machine-learning rigor to business stakes
- Determine when findings should become standing reports and when reports require deeper analysis
- Build and manage centralized reporting dashboards aligned with leadership and merchandising needs
- Partner with merchants to validate findings and prioritize impactful opportunities
Requirements
What you’ll need- Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years' experience in data analytics or related field
- Proven experience in advanced/predictive analytics influencing business decisions
- Ability to translate ambiguous business questions into analytical approaches and findings into recommendations
- Command of statistical analysis and predictive modeling
- Machine learning knowledge sufficient to determine appropriate applications
- Strong SQL and Python skills
- Hands-on experience with AI-assisted IDEs and CLI coding agents
- Judgment to validate AI-assisted development output
- Executive-level storytelling and presentation skills
- Ability to present complex analysis as a simple, defensible narrative with recommendations
- Bachelor's degree in a listed relevant field or equivalent six years of experience as specified
- Preferred qualifications include certificate in business analytics, data mining, or statistical analysis; SAS or R; master's degree in Business Administration, Information Systems, or Statistics
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 and 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, including tuition, books, and fees for eligible programs
- English Language Learning and short-form certificate programs through Live Better U
