(usa) Principal, Data Analyst

Walmart Walmart · Retail · Bentonville, AR

This role focuses on advanced data analysis and strategy within Walmart's global Procurement and Travel Operations. The Principal Data Analyst will lead the formulation and execution of data strategies, identify data sources, ensure data quality, and translate business requirements into actionable data-driven solutions. The role involves developing data visualizations, mentoring team members, and evaluating new analytical tools and techniques. While AI/ML inference is mentioned as a skill, the core responsibilities revolve around traditional data analysis, visualization, and strategy to support business operations and decision-making.

What you'd actually do

  1. Analyze complex business problems using advanced data analytics and automation techniques to identify root causes and recommend effective technology solutions.
  2. Define key metrics and success criteria to measure the impact and effectiveness of data-driven initiatives.
  3. Identify, assess, and validate data sources ensuring data quality and relevance for business needs.
  4. Translate business requirements into actionable data strategies aligned with organizational objectives.
  5. Develop and deliver compelling data visualizations and insights to influence stakeholders and support decision-making.

Skills

Required

  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
  • Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
  • 6 years' experience in data analysis, data science, statistics, or related field.
  • Python
  • SQL
  • Tableau

Nice to have

  • Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
  • Data science, data analysis, statistics, or related field

What the JD emphasized

  • Extensive experience in data analysis, visualization, and exploratory data analysis using tools such as Python, SQL, and Tableau.
  • Strong understanding of data quality management, data strategy, and governance principles to ensure data integrity and usability.
  • Proven ability to translate complex business requirements into actionable data-driven solutions aligned with organizational objectives.
  • Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making.
  • Demonstrated leadership in mentoring teams, managing deliverables, and driving continuous improvement in analytics practices.