- Salary
- $90k – $180k
- Location
- (USA) Upstream Building AR Bentonville Home Office, United States of America · San Bruno, CA · (USA) 221 River St NJ HOBOKEN Home Office
- Type
- Full-time
- Department
- Management
- Seniority
- Senior
- Education
- Master
- Source
- Workday
Description
Position Summary...
What you'll do...
Role summary:The Senior Manager, Insights Consulting, Global Fees & Incentives is a highly analytical business strategy role responsible for shaping how Walmart Marketplace prices its seller services and invests in seller incentives globally. This role combines deep analytical expertise with strong business judgment to identify growth opportunities, optimize Marketplace economics, and influence strategic decisions across one of Walmart's fastest-growing businesses. You will work hands-on with large datasets, financial models, and advanced analytics to uncover insights, evaluate investment opportunities, and recommend changes to Marketplace fees and incentive programs at a global scale.
About the team:
The Seller Fees & Incentives team drives profitable Marketplace growth by designing competitive fee structures and scalable incentive programs that create value for both sellers and Walmart. We use rigorous, data-driven analysis to optimize investment decisions, maximize ROI, and influence seller behavior through attracting high-value sellers, expanding strategic assortment, improving the customer value proposition, and accelerating adoption of new Marketplace capabilities. Our team partners closely with seller-facing teams, Product, Data Science, Finance, and internal business partners to shape high-impact Marketplace strategy.
What you'll do:
- Own complex analytics shaping seller fees and incentive investments across Walmart's global Marketplace.
- Analyze large datasets using SQL to identify trends, uncover insights, and solve high-priority business problems.
- Build financial models and business cases for Marketplace fee changes and high-value incentive programs.
- Design experiments and measurement frameworks to quantify business impact, optimize ROI and investment decisions.
- Partner with Data Science to develop and validate measurement and recommendation models.
- Translate complex analyses into executive-ready recommendations.
- Collaborate with Product and Engineering to build scalable global fees and incentive capabilities.
- Lead cross-functional initiatives from problem definition through execution.
- Coach associates on analytical thinking and structured problem solving.
What you'll bring:
- Exceptional analytical skills with demonstrated experience using SQL and large datasets to solve complex business problems.
- Strong business intuition with the ability to connect analytical findings to global Marketplace strategy and financial outcomes.
- Experience building financial models, evaluating investment opportunities, and measuring ROI.
- Ability to independently identify opportunities, frame ambiguous problems, and drive analyses with limited direction.
- Experience partnering with Data Science to develop, validate, and operationalize predictive or optimization models.
- Ability to synthesize complex analyses into compelling executive-level recommendations.
- Strong stakeholder management skills with experience influencing cross-functional leaders.
- A natural curiosity to explore data, challenge assumptions, proactively identify opportunities, and independently drive business improvements.
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.
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00
San Bruno, California US-08848: The annual salary range for this position is $117,000.00 - $234,000.00
Hoboken, New Jersey US-10279: The annual salary range for this position is $108,000.00 - $216,000.00 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 Administration or related field and 4 years' experience in marketing research, data analytics, consulting, or related field OR 6 years' experience in marketing research, data analytics, consulting, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Customer Analytics in Retail Operations, Leading a cross-functional team, SupervisoryMasters: Business Administration