(USA) Data Analyst II

Walmart•Bentonville, AR

19h

About The Position

Join Walmart as a Data Analyst II and apply expertise in data analysis, business intelligence, and storytelling to support cross-functional teams. Identify relevant data sources, develop analytical models, and deliver actionable insights that drive informed decision-making. The role requires proficiency in SQL and a strong understanding of business metrics across multiple domains. Collaborate with stakeholders, contribute to process improvements, support data quality initiatives, and communicate findings effectively to influence business outcomes. The Data Ventures team develops B2B data products that help merchants and suppliers make informed business decisions. Within Data Ventures, the Research & Remediation team investigates data discrepancies and application inconsistencies across merchandising functions, including replenishment, planning, and assortment. The team combines business intelligence, root-cause analysis, and impact assessment to quantify business risk, identify data-quality opportunities, and drive solutions that strengthen data integrity and support confident, data-driven decisions. The annual salary range is $70,000 to $130,000, with additional annual or quarterly performance bonuses. Stock may also be included as additional compensation for certain positions. The primary location is 1601 SE 10th St, Bentonville, AR 72716, United States.

Requirements

Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field; or 2 years of experience in data analysis, data science, statistics, or a related field.
Proficiency in SQL and experience with database technologies, including distributed datastores.
Strong analytical skills and ability to apply statistical techniques and exploratory data analysis.
Knowledge of business intelligence, merchandise planning, and inventory analysis.
Experience with data visualization tools and best practices for communicating insights.
Understanding of data quality management, including profiling, cleansing, and validation.
Ability to interpret business requirements and translate them into actionable data solutions.
Effective collaboration skills to support cross-functional teams and project delivery.

Nice To Haves

Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field.
Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.
Experience in data science, data analysis, statistics, or a related field.

Responsibilities

Analyze business data to develop actionable insights and recommendations across domains including replenishment, assortment, and merchandising.
Identify and source relevant data sets, ensuring data quality and accuracy for analysis and reporting.
Use business intelligence to proactively recommend data-quality rules.
Tell the story of decision risk through quantified impact assessments and qualitative evidence from users.
Develop agentic solutions to make the investigation of data errors more efficient.
Support the creation of business cases and contribute to decision-making through data-driven insights.

Benefits

Medical, vision, and dental coverage
401(k)
Stock purchase
Company-paid life insurance
Paid time off, including sick leave
Parental leave
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U education benefit, including tuition, books, and fees for eligible programs
Performance-based bonus awards