Senior, Data Analyst - Brands

Position Summary

Walmart is seeking a Senior Data Analyst to join our Walmart Brand Quality team who will tackle complex, purposeful challenges and play a pivotal role in driving data driven decision-making across various sectors of our cross-functional teams. This is a position designed for someone passionate about analytics, innovation, and operational excellence. You’ll be part of a collaborative and innovative team that partners closely with stakeholders across the Merchandising teams.

Our group is dedicated to leveraging data and technology to solve business challenges, drive efficiency, and deliver actionable insights that shape Walmart’s future. This role is an onsite position based at our Home Office in Bentonville, Arkansas; a full relocation package can be made available, but we are not considering remote applicants at this time.

• Leverage modern AI-powered tools to enhance the efficiency and impact on analytical solutions
• Develop scalable enterprise data models, perform data investigations and validation, and democratize data products for business and external systems
• Conduct ad-hoc analyses to investigate data quality and product performance, delivering business-critical insights
• Collaborate with data team members to improve and integrate analytical solutions
• Work with stakeholders to maximize business value and actionable insight from data engagement
• Create and enhance graphical representations of data and model outcomes for our internal customers
• Present findings to business audiences using effective data visualization frameworks
• Support organizational design initiatives by gathering and analyzing internal and external data
• Evaluate initiatives for return on investment and potential outcomes
• Build and maintain relationships with key internal and external partners
• Drive innovation while ensuring data accuracy and scalability

• Proficiency in SQL and strong skills in Python or other statistical tools (R, SPSS, Stata)
• Familiarity with AI-powered analytics tools (e.g., Git Hub Copilot, Tableau, Pulse)
• Extensive experience with business intelligence platforms (Dataiku, Alteryx, Looker, Tableau, Power BI)
• Strong knowledge of data modeling and data engineering best practices
• Proven ability to gather cross-functional requirements and refine project scope
• Excellent communication skills, with the ability to explain complex concepts to different audiences
• Ability to work independently in a dynamic, entrepreneurial environment and manage multiple priorities
• Experience in supply chain, retail, e-commerce is a plus

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 of 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 of experience in data analysis, data science, statistics, or related field

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)

1700 Se 5th St, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and have a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.