(USA) Principal, Data Analyst

Walmart•Bentonville, AR

6d•$90,000 - $180,000•Onsite

About The Position

As the Principal Data Analyst, you will lead the formulation and execution of advanced data strategies to address complex business challenges. This role requires deep expertise in data analysis, visualization, and quality management to deliver actionable insights that drive informed decision-making. You will collaborate across multiple business domains to translate requirements into effective solutions, mentor team members, and ensure data integrity. By leveraging cutting-edge analytical techniques and tools, you will influence business outcomes and support Walmart’s commitment to operational excellence and innovation. About the team: Our team supports global Procurement and Travel Operations, focusing on maximizing savings and value for Walmart Global Enterprise. We collaborate with leading travel suppliers, applying strategic sourcing and negotiation to secure optimal contracts. Engaging with multiple global suppliers and internal stakeholders, we develop and execute comprehensive supplier strategies. Reporting to senior leadership, the team drives cost efficiencies and risk mitigation while maintaining strong supplier relationships. This group plays a key role in advancing operational excellence and supporting Walmart’s continued success through data-driven insights and strategic partnership management.

Requirements

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.
Excellent communication skills to present data insights effectively and influence stakeholders across multiple business domains.
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.

Nice To Haves

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)

Responsibilities

Analyze complex business problems using advanced data analytics and automation techniques to identify root causes and recommend effective technology solutions.
Define key metrics and success criteria to measure the impact and effectiveness of data-driven initiatives.
Identify, assess, and validate data sources ensuring data quality and relevance for business needs.
Translate business requirements into actionable data strategies aligned with organizational objectives.
Develop and deliver compelling data visualizations and insights to influence stakeholders and support decision-making.
Mentor team members on analytical methods, data quality standards, and visualization best practices.
Drive continuous improvement by evaluating emerging tools and techniques in data analysis and visualization.