(USA) Senior Manager, Data Analytics – Marketplace Payments & Financial Services
- Own analytics and measurement for the Marketplace seller payment experience, including payment experience, payment processing, payouts, payment services, and related financial services initiatives.
- Analyze the end-to-end seller payment journey to identify friction points, failure drivers, process gaps, and opportunities to improve seller experience.
- Build analytics around payment setup and configuration, including completion rates, setup failures, processing times, seller drop-offs, exceptions, and root causes.
- Partner with Product and Engineering teams to define success metrics and instrumentation for new payment capabilities and product launches.
- Conduct deep-dive and exploratory analyses to understand trends, anomalies, seller behaviors, operational issues, and drivers of payment performance.
- Develop dashboards, scorecards, and recurring reporting that provide leadership with visibility into payment experience, operational health, and key performance trends.
- Establish appropriate baselines, benchmarks, targets, and measurement methodologies to evaluate improvements in payment products and experiences.
- Translate complex datasets and analytical findings into clear business insights, recommendations, and prioritization decisions for senior stakeholders.
- Partner cross-functionally with Product, Engineering, Data Science, Risk, Finance, and Operations to define data requirements and improve the quality and availability of payments data.
- Support measurement and analytics for new payment services and financial services initiatives, including defining business cases, sizing opportunities, and evaluating post-launch performance.
- Identify opportunities to automate analytics and reporting and build scalable, self-service capabilities for business and operational teams.
- Strong experience in data analytics, business analytics, product analytics, or a related analytical discipline, preferably within Payments, FinTech, eCommerce, Financial Services, or a digital platform business.
- Advanced analytical skills with demonstrated ability to turn large and complex datasets into actionable business insights.
- Strong proficiency in SQL and experience conducting exploratory data analysis using Python and statistical methods.
- Experience defining KPIs, measurement frameworks, product funnels, operational metrics, and performance scorecards.
- Ability to analyze customer or seller journeys and identify conversion gaps, friction points, defects, and root causes using quantitative data.
- Experience measuring digital products or operational processes, including establishing baselines, targets, and post-launch performance measurement.
- Experience with data visualization and BI tools to develop dashboards and communicate complex insights effectively.
- Ability to translate ambiguous business questions into structured analytical problems and measurable hypotheses.
- Strong communication and storytelling skills, with the ability to synthesize analytical findings into clear recommendations for business and executive stakeholders.
- Strong cross-functional collaboration skills and demonstrated ability to influence Product, Engineering, Operations, Risk, and other partner teams through data and insights.
- Experience with payments data, transaction analytics, seller or merchant payments, payouts, payment operations, or financial services is preferred.
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.
Sunnyvale, California US-11789: The annual salary range for this position is $117,000.00 - $234,000.00
BENTONVILLE, Arkansas US-10929: 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.
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.1 year's supervisory experience.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), Supervisory experiencePrimary Location...809 11th Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart 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.Skills Required
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field, plus 4 years of experience in data analysis, data science, statistics, or a related field; or
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 2 years of experience in data analysis, data science, statistics, or a related field; or
- 6 years of experience in data analysis, data science, statistics, or a related field
- 1 year of supervisory experience
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.









