(USA) Data Analyst II

Walmart•Bentonville, AR

About The Position

As a Data Analyst II, you will use analytical techniques and data visualization tools to support business decision-making across multiple domains. You will identify relevant data sources, ensure data quality, and apply statistical methods to generate actionable insights. You will work with stakeholders to translate business needs into analytical solutions, support process improvements, communicate findings, and mentor junior team members. The role is part of Walmart’s Data Quality team, which validates data and applies business checks to support the accuracy and reliability of Walmart’s data ecosystem. The team uses machine learning, anomaly detection, and certification and monitoring frameworks to identify irregularities across data pipelines, uphold data standards, and support data governance and process improvements.

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.
  • Strong understanding of business contexts across domains such as product, finance, marketing, sales, and technology.
  • Proficiency in identifying and sourcing datasets from databases and distributed data stores, including SQL and NoSQL.
  • Experience applying analytical methodologies to business problems and developing actionable insights.
  • Expertise in data visualization tools and techniques, including Python, R, Tableau, and Power BI.
  • Knowledge of data quality management practices, including profiling, cleansing, and validation.
  • Ability to perform exploratory data analysis using statistical techniques and scripting languages such as SQL and Python.
  • Effective communication skills to present data-driven findings and influence stakeholders.

Nice To Haves

  • Data science, data analysis, statistics, or related-field experience.
  • 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, business intelligence tools, and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.

Responsibilities

  • Analyze business data across multiple domains to support actionable business cases and recommendations.
  • Identify and source relevant datasets, ensuring their quality and accuracy for analysis and modeling.
  • Apply statistical and analytical techniques to explore data, identify trends, and support decision-making.
  • Develop data visualizations to communicate insights to stakeholders and influence business outcomes.
  • Collaborate with cross-functional teams to support process improvements and project delivery.
  • Assist in maintaining data governance, quality management, and compliance with company policies.
  • Mentor junior associates in analytical methods and data storytelling.

Benefits

  • Competitive pay
  • Performance-based bonus awards
  • 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
  • PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
  • Live Better U education benefit, with tuition, books, and fees paid for eligible programs
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