Position Summary...As a Senior Data Analyst on the Enterprise Consumer Fraud & Risk team, you will help identify, measure, and explain payments fraud risk across Walmart's digital payment ecosystem. This role focuses on turning complex fraud, transaction, and customer data into clear insights that support handling escalations, faster root cause analysis for emerging fraud attacks and risk vectors across payment controls. 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...- Identify, assess and document appropriate data sources aligned with business requirements to ensure accuracy and reliability.
- Translate complex business problems into data-driven solutions using advanced analytics and statistical techniques.
- Develop and deliver clear, 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 interpret data insights and provide actionable recommendations supporting strategic decisions.
- Prepare concise leadership-ready insights that explain the issue, impact, root cause, and recommended action.
- Monitor & maintain dashboards and accessibility across business domains
What you'll bring:- Deep understanding of SQL, data analysis, dashboarding, and visualization tools such as Tableau, Power BI, Looker, or similar platforms.
- Ability to work with large datasets, identify trends and outliers, and convert analysis into actionable business recommendations.
- Evaluating complex business requirements into actionable data solutions aligned with strategic objectives.
- 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
