Position Summary...As a Senior Data Analyst on the Enterprise Consumer Fraud & Risk team, you will help identify, measure, and explain identity fraud risk across Walmart's digital customer journey. This role focuses on turning complex fraud trends, and customer data into clear insights that supports stronger identity controls, handling escalations, and faster root cause analysis for emerging fraud attacks and risk vectors. Your expertise will drive continuous improvement and innovation, enabling Walmart to optimize performance and deliver measurable business value through data-driven strategies
What you'll do...- Analyze complex business situations to generate actionable insights and inform strategic decisions.
- Develop and deliver, insightful data visualizations and dashboards using tools such as Tableau, Power BI, and Looker Analytics.
- Perform exploratory data analysis and root cause investigations to uncover trends and anomalies.
- Collaborate with stakeholders to translate business needs into data-driven projects and measurable outcomes.
- Monitor and maintain dashboards and accessibility across business domains.
- Prepare concise leadership-ready insights that explain the issue, impact, root cause, and recommended action.
What you'll bring:- Extensive experience in data analysis, including proficiency with SQL and statistical techniques to identify trends and patterns.
- Deep understanding of data visualization tools such as Tableau, Power BI, and Looker Analytics to create clear, impactful dashboards and reports.
- Ability to translate complex business requirements into actionable data driven solutions aligned with fraud strategy.
- Proven skills in root cause and trend analysis to support decision-making and business insights.
- Strong communication skills with the ability to simplify complex analysis for business, engineering, and leadership audiences
- A practical, problem-solving mindset focused on balancing fraud reduction, customer experience, and business impact.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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 2 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. Option 3: 4 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
