(USA) Principal, Data Analyst
Position Summary...
What you'll do...
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.
What you'll bring:
6+ years of experience in product analytics, data science, business analytics, or a related quantitative role, ideally in eCommerce, marketplace, search, recommendations, advertising, or consumer product experiences.
Strong SQL and Python skills, with experience working with large-scale behavioral, transactional, or event-level datasets.
Deep experience with experimentation, including metric selection, test design, statistical interpretation, guardrails, segmentation, and launch recommendations.
Strong product judgment and the ability to connect customer behavior with business impact.
Experience conducting ambiguous, high-impact analyses where the answer is not obvious and the problem needs to be structured from first principles.
Ability to influence senior stakeholders through clear analytical narratives, dashboards and metric readouts.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $117,000.00 - $234,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
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)