Data Analyst II - LMD Fraud Prevention

Walmart; Bentonville (AR); On-site; USD 70,000 - 130,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

Walmart in Bentonville, AR seeks a Senior Analyst, Fraud Detection Operations to identify and mitigate fraudulent activity across the Spark Driver platform. This role combines advanced analytics, an investigative mindset, and real-world context to detect emerging threats and protect the integrity of the system.

The ideal candidate thrives in ambiguous problem spaces, thinks like an adversary, and can translate complex behavioral patterns into actionable insights and defensible decisions.

Qualifications

• Bachelor’s degree in a related field and 3+ years’ experience in fraud detection, investigations, risk analysis, or compliance—OR 5+ years’ equivalent experience without a degree.
• Proficiency in SQL and advanced Excel for large-scale data analysis.
• Experience with structured investigation processes, evidence documentation, and audit-ready case file management.
• Strong analytical and critical thinking skills with the ability to interpret complex, mixed-signal data and draw defensible conclusions.
• Effective written and verbal communication skills; able to distill complex findings into clear reports for cross-functional audiences.

Responsibilities

• Fraud Detection & Behavioral Analysis: Analyze user behavior and platform interaction patterns to identify unusual activity and emerging fraud vectors at scale.
• Fraud Signal Development & Model Support: Build and refine fraud indicators monitored through dashboards and automated models.
• Investigation & Evidence Documentation: Follow structured investigation, document steps with audit-ready case files; use OSINT to verify identities.
• Cross-Functional Collaboration & Reporting: Present operational insights to Product, Legal, Compliance, Engineering, and Care Operations; produce structured summaries.

Skills

SQL proficiency

Excel proficiency

Analytical thinking

Communication skills

Education

Bachelor's degree in Criminal Justice, Data Analytics, Business, Information Systems, or related field

Tools

Case management systems

Fraud-detection platforms

OSINT techniques

Job description

Position Summary…

What you’ll do…

About the Role
The Senior Analyst, Fraud Detection Operations is responsible for identifying, analyzing, and mitigating fraudulent activity across the Spark Driver platform. This role combines advanced analytics, an investigative mindset, and real-world context to detect emerging threats and protect the integrity of the system.
The ideal candidate thrives in ambiguous problem spaces, thinks like an adversary, and can translate complex behavioral patterns into actionable insights and defensible decisions. This role acts as a critical bridge between operational investigations, product/tooling enhancements, and broader fraud-prevention strategy.

Essential Functions
Fraud Detection & Behavioral Analysis

• Analyze user behavior and platform interaction patterns to identify unusual activity, suspicious accounts, and emerging fraud vectors at scale.
• Apply core analytics fundamentals—segmentation, trend analysis, anomaly detection, correlation testing—to uncover fraud patterns across large datasets.
• Interpret mixed signals by combining data points such as GPS movement, device details, metadata, and behavioral indicators to assess risk.
• Apply real-world context and consider cultural, social, and environmental factors that automated systems might miss.

Fraud Signal Development & Model Support

• Build and refine fraud indicators—measurable behaviors, thresholds, and composite signals that can be monitored through dashboards and automated models.
• Identify motivations and opportunities for fraud; translate hypotheses into testable data signals and validation frameworks.
• Stress-test queries by enumerating legitimate scenarios, then refine logic, thresholds, and exclusion rules to minimize false positives.
• Provide structured feedback and business requirements that support new fraud-signal development or detection-tool enhancements.
  Investigation & Evidence Documentation
• Follow a structured investigation process, documenting each step clearly from initial detection through final decision with audit-ready case files.
• Use open-source research (OSINT) to look beyond internal data, confirm identities, and uncover external fraud clues or coordinated networks.
• Prepare clear, defensible reports and documentation that would stand up in audits or legal settings.
• Stay ahead of threats by thinking like a bad actor to anticipate how people might try to exploit the system next.
  Cross-Functional Collaboration & Reporting
• Present operational insights to Product, Legal, Compliance, Engineering, and Care Operations to inform tooling improvements and policy updates.
• Provide operational context that supports broader fraud-prevention strategy and product design decisions.
• Produce clear, structured summaries of operational findings, QA trends, and SOP gaps that inform program updates.
• Ensure all documentation supports audit readiness and compliance expectations.
  Minimum Qualifications
• Bachelor’s degree in Criminal Justice, Data Analytics, Business, Information Systems, or related field and 3+ years’ experience in fraud detection, investigations, risk analysis, or compliance—OR 5+ years’ equivalent experience without a degree.
• Proficiency in SQL and advanced Excel for large-scale data analysis, anomaly detection, and pattern identification.
• Experience with structured investigation processes, evidence documentation, and audit-ready case file management.
• Strong analytical and critical thinking skills with the ability to interpret complex, mixed-signal data and draw defensible conclusions.
• Effective written and verbal communication skills; able to distill complex findings into clear reports for cross-functional audiences.

Preferred Qualifications

• Experience in gig economy, marketplace, or platform fraud-detection operations.
• Experience with OSINT techniques, device forensics, geolocation analysis, or identity-verification processes.
• Background in behavioral analytics, segmentation, or statistical pattern recognition applied to fraud or risk scenarios.
• Familiarity with fraud-detection platforms, case management systems, or rules-engine tools.
  Relocation Benefits: Yes
  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, 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, One.Walmart.
  The annual salary range for this position is $70,000.00 - $130,000.00 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 Option 2: 2 years’ experience in data analysis, data science, statistics, or related field.

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)

Primary Location…

802 Respect Dr, Bentonville, AR 72716, United States of America

Walmart 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.