Data Analyst II - LMD Fraud Prevention

Job Posting Title: Data Analyst II - LMD Fraud Prevention Job Posting 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, 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 $70,000.00 - $130,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ 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. Minimum Pay: 70000 Maximum Pay: 130000 Pay Frequency: Annual City: BENTONVILLE State: AR Country: United States Job Area: : [Technology] Job Category: : [Data Science and Analytics] Skills: [Fraud Detection, Behavioral Analytics, Data Analysis, Risk Analysis, SQL (Programming Language), Investigation, Critical Thinking, Fraud Prevention, Anomaly Detection, Microsoft Excel, Open Source Intelligence, Cross-Functional Collaboration, Compliance Management, Technical Documentation, Pattern Recognition, Business Requirements, Trend Analysis, Verbal Communication Skills, Case Management, Product Design, Data Science, Data Visualization, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Data Governance, Data Quality] Management Level: I Job Family: Data Analytics Brand: Walmart