(USA) Senior, Data Analyst
IT, Data Science
USD 80k-155k / year + Equity
Posted on Jul 20, 2026
Position Summary...
What you'll do...
Role summary:Hello there! Are you someone who thrives on solving complex problems and loves to dive deep into data? If so, we've got an exciting opportunity for you at Walmart, the world's largest retailer. We're on the hunt for a Senior Data Analyst who's ready to take on meaningful challenges and make a real impact.
About the team:
The team delivers high-quality data insights to support business decisions across various domains. Members collaborate to identify and source relevant data, ensure its quality, and apply advanced analytical techniques. They develop clear visualizations and communicate findings effectively to stakeholders. Operating within established data governance and strategy frameworks, the team drives actionable outcomes aligned with business goals. This environment fosters continuous improvement, professional growth, and knowledge sharing, emphasizing integrity and excellence in all activities. Innovative tools and methods are leveraged to solve complex problems and enhance business value.
What you'll do:
- 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
What you'll bring:
- Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (4-6 years)
- Creativity with a User Experience foundation to develop impactful Tableau Dashboards (2-3 years)
- Business Operations Fluency. Capability to understand and root cause a business problem. A Supply Chain background, preferably with Last Mile Delivery or Parcel Deliveries experience.
- Excellent communication skills and ability to work cross-functionally
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
ㅤ
ㅤ
ㅤ
ㅤ
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)

















