Senior Manager, Data Analytics – Marketplace Payments

Walmart•Bentonville, AR

1d•$90,000 - $234,000

About The Position

Position Summary... As a Senior Manager, Data Analytics – Marketplace Payments, you will lead advanced analytics and quantitative risk modeling efforts for Marketplace seller payments and financial services. This role focuses on building and scaling predictive and statistical models across payments, credit, and fraud, while driving data-informed decision-making to improve operational performance and seller financial outcomes. This is a hands-on, senior-level role for an experienced analytics professional who can solve complex financial risk problems at scale and provide strong technical leadership in advanced analytics with a strong focus on data science. What you'll do... Develop and enhance predictive and statistical models to assess seller risk, credit exposure, fraud, reserves, and negative balances Lead end-to-end analytics for initiatives such as seller lending, payout optimization, cash-flow management, and Marketplace financial services Apply advanced statistical methods to large, complex datasets across payments, orders, fulfillment, and shipments to solve risk and financial performance challenges Build scalable risk frameworks and translate analytical insights into clear decision rules and automated controls Establish strong model validation and monitoring practices to ensure performance, stability, and accuracy Create dashboards and reporting to track risk trends, losses, model performance, and payments SLAs Identify and integrate high-impact data sources to strengthen risk signals and improve model effectiveness Optimize key metrics such as loss rates, false positives, reserve coverage, and operational efficiency through structured testing and analysis Partner with Product, Engineering, Trust & Safety, Seller Risk & Performance, Finance, and Treasury to influence the payments analytics roadmap Contribute to a high-performing analytics team by upholding strong standards of statistical rigor and execution

Requirements

Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, Finance, Business Analytics, or related) with 4+ years of experience in data science or advanced analytics; or Master’s degree with 2+ years of relevant experience
Experience leading end-to-end advanced analytics or data science projects, experience developing and validating predictive or statistical models preferred
Domain experience in payments, marketplace, eCommerce, financial services, credit risk, fraud, or risk analytics
Strong analytical skills with the ability to translate business problems into data-driven solutions
Advanced SQL skills and experience working with large datasets and proficiency in Python (or similar) for data analysis and statistical modeling; experience with Spark or Hive preferred
Familiarity with data visualization tools such as Tableau or Looker
Strong communication skills and ability to work cross-functionally in fast-paced environment
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.

Nice To Haves

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 experience

Responsibilities

Develop and enhance predictive and statistical models to assess seller risk, credit exposure, fraud, reserves, and negative balances
Lead end-to-end analytics for initiatives such as seller lending, payout optimization, cash-flow management, and Marketplace financial services
Apply advanced statistical methods to large, complex datasets across payments, orders, fulfillment, and shipments to solve risk and financial performance challenges
Build scalable risk frameworks and translate analytical insights into clear decision rules and automated controls
Establish strong model validation and monitoring practices to ensure performance, stability, and accuracy
Create dashboards and reporting to track risk trends, losses, model performance, and payments SLAs
Identify and integrate high-impact data sources to strengthen risk signals and improve model effectiveness
Optimize key metrics such as loss rates, false positives, reserve coverage, and operational efficiency through structured testing and analysis
Partner with Product, Engineering, Trust & Safety, Seller Risk & Performance, Finance, and Treasury to influence the payments analytics roadmap
Contribute to a high-performing analytics team by upholding strong standards of statistical rigor and execution

Benefits

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.