(USA) Principal, Data Analyst

Walmart Inc.; Sunnyvale (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k)

PTO

Company discounts

Job summary

Walmart Inc. is seeking a Principal Analyst, Search Product to partner with Product, Engineering, Data Science, Design, and Business teams across the end-to-end search stack. You will define success metrics, evaluate innovations, and influence roadmap decisions through rigorous analytics and experimentation.

The role requires translating complex data into strategic product direction. Based in Sunnyvale, CA, you will lead analytics across query understanding, retrieval, ranking, and UI/UX,

Qualifications

• Bachelor's or Master's in Business, Engineering, Statistics, Economics, Analytics, Mathematics, or related field with relevant analytics experience.
• Alternative: 6 years of data analysis, data science, or statistics experience.
• Experience in eCommerce, marketplaces, or consumer product analytics is a plus.

Responsibilities

• Lead analytics across end-to-end Search product experience (query understanding, retrieval, ranking, personalization, UI/UX).
• Define search health metrics and measure customer experience and business impact.
• Design and interpret rigorous experiments (A/B, multivariate, Bayesian) to guide product changes.

Skills

SQL & Python

Experimentation design

Stakeholder influence

Product analytics

Ambiguity navigation

Education

Bachelor's degree + 4 years data analytics

Master's degree + 2 years data analytics

6 years data analytics experience

Tools

Power BI

Tableau

Spark

Scala

R

Job 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.

Responsibilities

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.

Benefits

• 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.

Education and Experience

• 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.
• Minimum Qualifications: 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.
• Minimum Qualifications: Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

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).

Location

Primary Location: 815 Eleventh Ave, Sunnyvale, CA 94089‑4731, United States of America

Company Culture & Mission

Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. Fifty years ago, Sam Walton started a single mom‑and‑pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. You’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you’re proud of.