Senior, Data Analyst
Position Summary...
What you'll do...
We are looking for an individual who sits at the intersection of analytics, engineering, and business strategy. Someone who is deeply technical and demonstrates strong analytical judgment and critical thinking.
Core technical requirements:
Advanced SQL expertise is the top priority
Complex joins/window functions/CTEs
Query optimization and performance awareness
Ability to work confidently with large, messy datasets
Data validation and troubleshooting skills
Strong Python skills for analytics, automation, and data manipulation
Pandas, scripting, API interaction, automation workflows, etc.
Familiarity with modern technical workflows/tools
Git/version control
Working in shared repositories
Understanding collaborative development practices
Comfort working across BI/data platforms and technical ecosystems
Demonstrated ability to incorporate AI tools into day-to-day workflows to improve efficiency, accelerate analysis, automate repetitive tasks, and enhance problem-solving
Includes leveraging tools such as ChatGPT/Copilot/LLM-based workflows thoughtfully and effectively
Looking for practical adoption and workflow integration, not just passive familiarity
However, technical ability alone is not enough. The ideal candidate is someone who:
Thinks critically and challenges assumptions
Investigates root causes instead of stopping at surface-level metrics
Can navigate ambiguity without needing overly prescriptive direction
Frames business problems analytically
Translates data into actionable recommendations
Asks thoughtful follow-up questions and demonstrates curiosity
Understands tradeoffs, edge cases, and downstream impacts
Operates more like a strategic technical partner than a report builder
Continuously looks for ways to scale their impact through automation, AI, and process improvement
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)