(USA) Senior, Data Analyst
(USA) Trust Building AR Bentonville Home Office Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at Walmart. (USA) Trust Building AR Bentonville Home Office · full-time · $80,000–$155,000 base.
SalaryStated by Walmart
$80,000 – $155,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
Location(USA) Trust Building AR Bentonville Home Office
EmploymentFull-time
Base pay$80,000–$155,000
PostedOct 26, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn unclear fraud, misconduct and enterprise-risk questions into testable ideas, analysis plans and findings investigators can use
- Connect information across enterprise systems to uncover unusual patterns, relationships, behaviors and investigative leads
- Use SQL, statistical methods and automation to analyze large datasets and build repeatable approaches
- Explain complex results to investigators and executives so they can act on investigations, remediation and risk reduction
- Turn recurring investigative requests into scalable analytics that cut manual work and speed up responses
What you bring
- You qualify through a related bachelor's degree and two years of relevant experience, a related master's degree, or four years of experience
- You can work confidently with SQL and data visualization platforms such as Tableau or Power BI
- You understand business intelligence, data quality and data governance, and can turn complex needs into practical data solutions
- You bring strength in exploratory analysis, statistical methods, automation, communication and stakeholder collaboration
Who this fits
This role suits a senior analyst who can lead investigative analytics from initial questions through clear findings and reusable solutions. The role is based at the listed Bentonville, Arkansas location.
From the employer
Position Summary...
What you'll do...
Role summary:Join Walmart as a Senior Data Analyst and leverage your expertise in data analysis, SQL, business intelligence , vibe coding to deliver actionable insights that help investigations to identify fraud and risk. You will lead analytics from problem definition through data discovery, analysis, and communication of findings. Your work will help accelerate investigations, quantify risk and exposure, reduce manual effort, and enable earlier identification of emerging risks. This role involves identifying and validating data sources, ensuring data quality, and applying advanced analytical techniques to solve complex business challenges. You will collaborate with investigators to translate their needs into data-driven solutions.
About the team:
Our team partners with Global Investigations and Legal to deliver advanced data solutions encompassing analytics, AI, automation, and enterprise tools. Combining technical expertise with investigative insight, we detect complex fraud, identify risks and control gaps, and provide actionable intelligence to accelerate investigations and support risk mitigation. We develop analytical products and AI-powered automation that enhance efficiency and scale investigative capabilities enterprise-wide. Our mission is to leverage data and technology to improve risk visibility, strengthen investigative effectiveness, and safeguard Walmart, its associates, and customers.
What you'll do:
- Lead the investigative analytics engagements, translating ambiguous fraud, misconduct, and enterprise risk questions into structured hypotheses, analytical approaches, and actionable findings.
- Discover, evaluate, and connect data across complex enterprise systems to identify patterns, anomalies, relationships, behaviors, and investigative leads that may not be visible through individual data sources.
- Apply advanced SQL, statistical techniques, exploratory analysis, and automation to analyze large-scale datasets and develop repeatable analytical methodologies.
- Translate complex analysis into clear investigative intelligence and executive-level insights that accelerate decision-making and inform investigations, remediation, and risk mitigation.
- Identify recurring investigative needs and convert them into scalable analytics that reduce manual effort, shorten turnaround time.
What you'll bring:
- Extensive experience in data analysis, including proficiency with SQL and data visualization tools such as Tableau and PowerBI.
- Strong understanding of business intelligence, data quality management, and data governance principles.
- Ability to translate complex business requirements into actionable data solutions aligned with organizational strategy.
- Expertise in exploratory data analysis, statistical techniques, and automation to identify trends and support decision-making.
- Proven skills in stakeholder management, effective communication, and problem-solving within cross-functional teams.
- Demonstrated thought leadership in applying data-driven insights to improve business outcomes and operational efficiency.
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 $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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)