Senior Manager, Data Analytics (Supplier Finance Data Strategy)

Walmart, Inc.

$90K — $180K *
US-AnywhereRemote in Bentonville, AR
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or related field
  • 8+ years of experience in data analytics, finance, or related fields
  • Strong financial acumen and understanding of lending principles
  • Proficient with SQL, Python, Power BI, Tableau, or similar tools
  • Experience in assessing data quality across complex systems
  • Demonstrated ability to influence cross-functional teams
  • Hands-on experience developing data models and analytics solutions

Responsibilities

  • Lead the data strategy for supplier finance initiatives
  • Collaborate with cross-functional teams to define data needs
  • Improve data quality across multiple systems
  • Create data models supporting trade flows and payment cycles
  • Apply financial principles to support credit assessments
  • Translate datasets into actionable supplier insights
  • Integrate external data sources to enhance analytics

Benefits

  • Medical, vision, and dental coverage
  • 401(k) and stock purchase plan
  • Company-paid life insurance
  • Paid time off, including sick leave and parental leave
  • Short-term and long-term disability coverage
  • Company discounts and Military Leave Pay
  • Education benefit program covering tuition and fees
Full Job Description
Position Summary...
Walmart is seeking a strategic and results-driven Senior Manager, Data Analytics (Supplier Finance Data Strategy) to unlock the full potential of our data ecosystem and accelerate supplier financing programs. This role sits at the intersection of finance, data, and technology-transforming complex datasets into scalable, insight-driven solutions that power growth and innovation. You will shape how data is sourced, structured, and activated across the enterprise while influencing high-impact financial decisions. This is a unique opportunity to build next-generation data products and AI-enabled analytics that enhance supplier experiences and drive measurable business outcomes.

What you'll do...
  • Lead the data strategy for supplier finance initiatives, identifying and activating key data sources to enable scalable program growth
  • Partner cross-functionally with technology, merchandising, Accounts Payable, and supply chain teams to define data requirements and priorities
  • Assess and improve data quality, integrity, and completeness across multiple enterprise systems
  • Design and build data models and analytics frameworks supporting trade flows, invoicing, and payment cycles
  • Apply financial and lending principles to inform credit assessments, underwriting inputs, and risk-based decisioning
  • Translate complex datasets into actionable insights that guide program design, supplier segmentation, and strategy
  • Evaluate and integrate external data sources (e.g., credit data, market data) to enhance analytics and fill internal data gaps
  • Collaborate with external partners (banks, fintechs, underwriters) to optimize data sharing and support lending decisions
  • Leverage advanced analytics, AI/ML, and automation to improve forecasting accuracy, scalability, and operational efficiency


What you'll bring:
  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or a related field
  • 8+ years of experience in data analytics, finance, treasury, or related areas with a strong data-driven focus
  • Strong financial acumen, including knowledge of lending principles, credit risk, and working capital dynamics
  • Experience with retail and financial processes such as order management, invoicing, and payment workflows
  • Proven ability to assess and manage data quality across complex, interconnected systems
  • Demonstrated success influencing cross-functional stakeholders across business and technology teams
  • Hands-on experience building data models, analytics solutions, or data products with measurable impact
  • Proficiency in tools such as SQL, Python, Power BI, Tableau, or similar analytics platforms
  • Familiarity with enterprise systems (e.g., SAP) and experience applying AI/ML or automation to analytics workflows


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.

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








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 experience

Primary Location...

703 Associate Dr, Bentonville, AR 72716, United States of America

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