(USA) Senior, Data Analyst
IT, Data Science
USD 80k-155k / year + Equity
Posted on Jun 19, 2026
Position Summary...
What you'll do...
Role summary:Join Walmart as a Senior Data Analyst and leverage your expertise in data sourcing, quality management, and advanced analytics to deliver actionable business insights. This role requires a deep understanding of business domains, data ecosystems, and visualization techniques to support strategic decision-making. You will collaborate across functions to translate complex data into clear, impactful recommendations, ensuring alignment with organizational goals. Your contributions will drive data-driven solutions that enhance operational efficiency and business performance within a dynamic and evolving environment.
About the team:
The team focuses on delivering high-quality data insights to support business decisions across multiple domains. Members collaborate to identify and source relevant data, ensure data quality, and apply advanced analytical techniques. They develop clear visualizations and communicate findings effectively to stakeholders. The group values continuous improvement, leveraging innovative tools and methods to solve complex problems. Working within established data governance and strategy frameworks, the team drives actionable outcomes that align with business goals. This environment encourages professional growth, knowledge sharing, and a commitment to integrity and excellence in all activities.
What you'll do:
- Identify and assess appropriate data sources aligned with business requirements and service level agreements.
- Perform initial data quality checks and manage data quality issues to ensure accuracy and reliability.
- Translate complex business problems into data-driven solutions using advanced analytics and statistical techniques.
- Develop and deliver clear, insightful data visualizations tailored to stakeholder needs and business contexts.
- Collaborate with cross-functional teams to align data strategies with organizational goals and priorities.
- Provide actionable recommendations based on thorough exploratory data analysis and business metrics.
- Mentor junior analysts on data storytelling, visualization best practices, and quality standards.
What you'll bring:
- Proven expertise in data source identification, including knowledge of business domains, data categories, and database technologies such as SQL and NoSQL.
- Strong understanding of data quality management, including profiling, cleansing, and monitoring to meet service level agreements.
- Experience applying data strategy principles to solve business problems and unlock value from data assets.
- Proficiency in exploratory data analysis using tools like SQL, Python, and statistical techniques to identify trends and insights.
- Ability to translate complex business requirements into actionable data solutions aligned with organizational goals.
- Skilled in advanced data visualization methods and tools to effectively communicate insights to stakeholders.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
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' 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' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
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)

















