(USA) Senior, Data Analyst

Walmart•Bentonville, AR

4d•$80,000 - $155,000

About The Position

As a Senior Data Analyst at Walmart, you will use advanced data analysis, statistical modeling, and visualization to support strategic business decisions across multiple domains. You will identify and validate data sources, ensure data quality, and translate complex business requirements into actionable insights. Working with cross-functional teams, you will develop data-driven solutions to optimize supply chain and operational performance. The role requires expertise in data management and exploratory analysis, as well as the ability to communicate findings effectively to influence stakeholders and support continuous improvement aligned with Walmart’s business objectives. The team optimizes network operations using advanced modeling and simulation to inform future strategies. Drawing on transportation management, logistics engineering, and supply chain optimization expertise, team members work across functions to improve operational efficiency and turn complex data into insights for strategic decisions. The team applies innovative analytical methods to evolving business challenges and aims to deliver measurable value through continuous improvement.

Requirements

Extensive experience in data analysis, statistical modeling, and simulations to support complex business decisions.
Proficiency with database technologies, including SQL and NoSQL, for data extraction and quality assessment.
Strong understanding of data quality management, governance, and enterprise data strategy principles.
Ability to translate business requirements into actionable data solutions aligned with organizational goals.
Expertise in data visualization tools such as Tableau, Power BI, and Python libraries.
Knowledge of supply chain optimization, transportation management, and logistics engineering.
Option 1 minimum qualification: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field.
Option 2 minimum qualification: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
Option 3 minimum qualification: 4 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, or Information Technology, or a related field.
Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
Successful completion of assessments in data analysis and business intelligence tools and scripting languages, such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.

Responsibilities

Identify and assess appropriate data sources aligned with business requirements and service level agreements.
Work with stakeholders to identify modeling needs and form the strategy for each project.
Develop simulation models and present results to leadership.
Develop and present clear data visualizations tailored to stakeholder needs.
Support data governance by promoting data quality standards, accessibility, and compliance with regulatory policies.
Collaborate cross-functionally and mentor junior analysts.

Benefits

Medical, vision, and dental coverage.
401(k).
Stock purchase plan.
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 education benefit, including paid tuition, books, and fees for eligible programs.
Performance-based bonus awards.
Stock may be additional compensation for certain positions.