(USA) Data Analyst II

Walmart•Bentonville, AR
•$70,000 - $130,000

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, and communicate findings. The role also involves data management, exploratory data analysis, mentoring junior team members, and contributing to continuous operational excellence while upholding company values. The Data Quality team ensures the accuracy and reliability of Walmart’s data ecosystem through validations and business checks. The team uses machine learning and anomaly detection to identify irregularities in data pipelines, and applies certification and monitoring frameworks to uphold data standards. It works with stakeholders on process improvements and data governance to maintain high-quality data that supports informed decisions and business growth. The position is based at 1601 SE 10th St, Bentonville, Arkansas. The annual salary range is $70,000 to $130,000, with additional annual or quarterly performance bonuses and, for certain positions, stock.

Requirements

  • Strong understanding of business contexts across domains including 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 for presenting data-driven findings and influencing stakeholders.
  • Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field; or two years of experience in data analysis, data science, statistics, or a related field.

Nice To Haves

  • Experience in data science, data analysis, statistics, or a related field.
  • 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 develop actionable business cases and recommendations.
  • Identify and source relevant datasets, ensuring data 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.
  • Help maintain data governance, quality management, and compliance with company policies.
  • Mentor junior associates in analytical methods and data storytelling techniques.

Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase plan, and company-paid life insurance.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short-term and long-term disability.
  • Company discounts.
  • Military Leave Pay.
  • Adoption and surrogacy expense reimbursement.
  • Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates.
  • Performance-based bonus awards.
  • Stock for certain positions.
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