Senior, Data Analyst
Walmart
USD 80k-155k / year + Equity
Posted on May 7, 2026
Position Summary...
What you'll do...
Job DescriptionPosition Summary... Decision Sciences builds a digital understanding of Walmart’s operations and turns data into insights and actions at scale. We are looking for someone that excels in critical thinking, data investigation, and story telling that can help reveal actionable insights to our decision makers and leadership. 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.
You’ll make an impact from the first day if you have:
- Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (3-5 years)
- Ability to tell a story clearly and concisely with data
- Business Operations Fluency. Capability to understand and root cause a business problem.
- Excellent communication skills and ability to work cross-functionally
Responsibilities:
- Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions. Create ETLs or processes that pull data from multiple places and centralize it in one table.
- Develop data visualization to monitor and quantify the impact of changes and unique business challenges.
- Engage with team members and cross-functional teams on a periodic basis and establish credibility. Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems
- Document your processes and share your knowledge with your peers. Mentor your peers as you become a Subject Matter Expert.
- Independently drive internal team innovation
Qualifications:
- Advanced SQL
- Proficient skills in at least one of: Tableau, PowerBI, AI Tools, Python, R, etc
Preferred
- Experience with omni-retail operations
- Experience with Python or other scripting language.
- Background in statistics, advanced mathematics, economics, etc
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)

















