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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (USA) Principal, Data Analyst - **Company:** Wal-Mart Stores, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, R (Programming Language), Design of User Interfaces, Python (Programming Language), Power BI, Scala (Programming Language), SQL Databases, Tableau (Software), Usage Analysis, Scripting, Apache Spark, Information Technology, Data Analytics, Performance Monitor - **Published:** September 3, 2026 - **Apply:** https://www.jofdav.com/jobs/59533293-usa-principal-data-analyst ## About the Role Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) ## Description Role summary: Walmart's Search experience is a critical entry point for customers, shaping product discovery, purchase decisions, and overall shopping satisfaction. We are seeking a Principal Analyst, Search Product to partner with Product, Engineering, Data Science, Design, and Business teams across the end-to-end search stack-including query understanding, retrieval, ranking, post-retrieval optimization, and UI/UX. This role will define search success metrics, evaluate product and model innovations, uncover high-impact opportunities, and influence roadmap decisions through rigorous analytics and experimentation. The ideal candidate thrives in ambiguity and translates complex data into strategic product direction. About the team: The Product Analytics team partners with Product, Engineering, Design, and Data Science to enable data-driven decisions throughout the eCommerce journey and Store Operations. This team delivers insights that guide product launches, optimization, and scaling to improve customer experiences and business results. Responsibilities include leading business reviews, exploratory analyses, opportunity sizing, and experiment evaluation. Positioned centrally in product decision-making, the team blends analytical expertise with business knowledge to influence initiatives from ideation to launch, collaborating cross-functionally to ensure measurable impact and ongoing product performance monitoring. What you'll do: * Lead analytics across the end-to-end Search product experience, including query understanding, retrieval, ranking, personalization, and UI/UX. * Define and evolve search health metrics to measure customer experience, relevance, and business impact. * Conduct deep-dive analyses and opportunity sizing to identify high-impact product improvements and influence roadmap priorities. * Design, execute, and interpret rigorous experiments (A/B, multivariate, Bayesian, and quasi-experimental) to evaluate product changes and guide launch decisions. * Partner with Product, Engineering, Data Science, and Design to optimize search performance and customer outcomes. * Build scalable analytical frameworks and communicate data-driven recommendations that shape product strategy and raise analytical excellence. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [JavaScript? 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