Senior, Data Analyst
About The Position
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
Requirements
- 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.
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in data analysis, data science, statistics, or related field.
Nice To Haves
- 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)
Responsibilities
- Advanced SQL expertise
- 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
- Leveraging tools such as ChatGPT/Copilot/LLM-based workflows thoughtfully and effectively
- 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
Benefits
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption expense reimbursement
- Surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
