Position Summary...What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact analytical initiatives that improve investment discipline, growth strategy, and decision-making across Marketplace and eCommerce. This role will focus on building scalable frameworks to measure incrementality, identify investment inefficiencies, guide marketing and incentive allocation, and translate complex analytical findings into clear business actions.
The ideal candidate is a strong analytics leader with deep experience in experimentation, causal inference, forecasting, and business partnering. They should be comfortable operating in ambiguous environments, structuring complex problems, influencing senior stakeholders, and leading a team to deliver both strategic insights and production-ready analytical solutions.
This role requires someone who can move beyond reporting and diagnostics to build decision frameworks that directly shape business strategy, resource allocation, and operating discipline.
Key ResponsibilitiesBusiness Partnership & Strategic Influence- Partner with senior leaders across Marketplace, Marketing, Finance, Product, Merchandising, WMC, and Data Science to understand business goals, diagnose key challenges, and develop analytical solutions that drive measurable impact.
- Translate ambiguous business questions into structured analytical problems, including investment incrementality, marketing and incentive overlap, seller and item prioritization, customer cohort targeting, and the right balance between offer exposure, price competitiveness, and customer experience.
- Provide actionable recommendations to senior leadership based on advanced analytics, experimentation, and causal inference.
- Focus efforts on opportunities with the highest business impact and help leadership make trade-offs across growth, efficiency, and customer experience.
Advanced Analytics & Experimentation- Lead the design, execution, and interpretation of incrementality studies, A/B tests, quasi-experiments, and causal inference frameworks.
- Develop approaches to measure the true impact of business investments across marketing, incentives, onsite placements, pricing actions, seller programs, and product interventions.
- Apply methods such as randomized experiments, difference-in-differences, synthetic controls, propensity-based approaches, uplift modeling, meta-learners, interrupted time series, and other causal techniques where appropriate.
- Partner with Product, Engineering, Marketing, and Business teams to operationalize test designs, define success metrics, identify treatment and control groups, assess risks, and ensure results are interpretable and actionable.
- Build repeatable experimentation playbooks that help the organization move from one-off analyses to disciplined test-and-learn decision-making.
- Build forecasting and econometric models that explain business outcomes through drivers such as baseline trends, seasonality, pricing, assortment, marketing exposure, offer competitiveness, customer experience, and category mix.
- Develop diminishing returns curves, transfer functions, saturation models, and marginal ROI frameworks to help leadership understand when incremental spend is efficient versus when returns begin to flatten.
- Support annual and quarterly planning by building analytical tools that estimate expected returns, identify risks, and guide spend allocation across programs and channels.
- Evaluate new analytical techniques and determine when they are appropriate for business use, balancing technical rigor with interpretability, speed, and operational feasibility.
- Ensure analytical outputs are robust, explainable, and usable by business stakeholders.
- Lead development of analytical datasets that connect investments, exposures, seller behavior, item performance, customer outcomes, and financial returns.
- Identify gaps in instrumentation, data quality, attribution logic, and measurement methodology. Partner with Engineering and Product teams to improve data foundations where needed.
- Democratize insights through scalable reporting, Looker dashboards, automated diagnostics, and executive-ready business reviews.
Minimum Qualifications- Bachelor's degree in Statistics, Economics, Mathematics, Engineering, Computer Science, Business Analytics, Operations Research, or a related quantitative field.
- 6+ years of experience in analytics, data science, econometrics, business intelligence, strategy analytics, or a related field.
- Experience leading complex analytical projects with measurable business impact.
- Strong experience with SQL and at least one analytical programming language such as Python or R.
- Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing/investment measurement.
- Experience translating analytical findings into executive-level recommendations.
- Experience partnering with cross-functional business, product, finance, engineering, or data science stakeholders.
- People leadership experience, including coaching, prioritization, and performance development.
Preferred Qualifications- Master's degree or PhD in Economics, Statistics, Data Science, Operations Research, Engineering, Computer Science, or a related quantitative field.
- Experience with marketplace, eCommerce, retail, advertising, marketing analytics, pricing, incentives, or seller growth programs.
- Strong understanding of experimentation and causal inference methods, including A/B testing, difference-in-differences, synthetic controls, uplift modeling, meta-learners, or propensity-based methods.
- Experience with marketing effectiveness, incrementality testing, ROAS measurement, or investment optimization.
- Experience building forecasting models, diminishing returns curves, saturation models, or marginal ROI frameworks.
- Experience developing production-ready analytics assets, dashboards, automated diagnostics, or decision tools.
- Ability to operate in ambiguous environments and create structure around complex business problems.
- Strong executive communication skills, including the ability to simplify complex methods without losing analytical rigor.
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.
San Bruno, California US-08848 | Sunnyvale, California US-11789: The annual salary range for this position is $117,000.00 - $234,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
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.
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.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R)
Masters: Business Administration, Masters: Information Systems, Masters: Statistics
Primary Location...850 Cherry Ave, San Bruno, CA 94066-3031, United States of America
