(USA) Senior, Data Analyst
IT, Data Science
USD 80k-155k / year + Equity
Posted on Jul 17, 2026
Position Summary...
What you'll do...
Role summary:Join Walmart as a Senior Data Analyst and leverage your expertise in big data analytics, database query languages, and visual analytics to deliver actionable insights that drive business decisions. This role requires a deep understanding of data ecosystems, quality management, and advanced visualization techniques to support cross-functional teams. You will identify and validate data sources, translate complex business challenges into analytical solutions, and communicate findings effectively to stakeholders. Your contributions will enhance data-driven strategies, ensuring alignment with organizational goals and fostering continuous improvement across multiple business domains.
About the team:
The Decision Sciences team transforms Walmart’s operations by converting data into actionable insights at scale. This team excels in critical thinking and thorough data investigation to support business partners with informed decisions. Members leverage expertise in big data analytics, database query languages, and visual analytics to identify data sources, ensure data quality, and develop clear visual representations. The team collaborates across functions to address complex business challenges, applying advanced analytical methods and maintaining high standards of integrity and excellence to drive continuous improvement and deliver measurable business value.
What you'll do:
This role is a part of the End 2 End Decision Sciences, Store Data & Analytics. We are an analytics team that will support the innovations that impact our stores. You will help our business partners from multiple cross-functional teams answer unclear questions so they can make the best decision in a timely manner. You will be working with operations, product, finance, and executive leadership teams to provide them with the insights they need to drive Walmart forward in times of rapidly changing technologies.
What you'll bring:
- Extensive experience in data analysis, including proficiency with big data analytics and database query languages such as SQL and NoSQL.
- Strong knowledge of data quality management, including profiling, cleansing, and monitoring to ensure accuracy and reliability.
- Expertise in data visualization tools and techniques, with the ability to present complex data clearly using platforms like Tableau or PowerBI.
- Ability to translate business requirements into actionable data solutions aligned with strategic objectives.
- Familiarity with data governance, storage, scalability, and enterprise data architecture principles.
- Proven skills in exploratory data analysis and statistical methods to identify trends and insights.
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)

















