Senior Data Analyst-Driver Experience (Last Mile Delivery)
Walmart
IT, Data Science
USD 80k-155k / year + Equity
Posted on Feb 24, 2026
Position Summary...
As the Senior Data Analytics – Driver Experience, you will play a key role in strengthening the Spark driver journey within Walmart’s Last Mile Delivery network. You will uncover experience defects, operational inefficiencies, and performance trends, transforming complex data into insights that guide strategic decisions across the business.The Driver Experience team is focused on understanding and advocating for Spark drivers, eliminating friction in their workflow, and improving platform reliability and satisfaction. You will support this mission by building trusted dashboards, advanced analytics, and AI-enabled insights that illuminate opportunities for improvement and help teams act with precision.
This role partners closely with product, engineering, operations, and Communication teams to ensure the driver perspective is represented in roadmaps and initiatives. Your analytical depth, business acumen, and ability to influence through data will directly shape how Walmart improves driver engagement, scales Last Mile operations, and strengthens Spark’s position as the preferred platform for gig drivers.
What you'll do...
- Be a change agent by using advanced SQL, dashboards, AI tools, and analytical rigor to surface driver experience defects, quantify impact, and enable data-driven decisions.
- Be a visionary and strong data storyteller, transforming complex datasets into clear, compelling insights that highlight opportunities to improve the Spark driver journey.
- Strategically evaluate business and operational issues, connecting data patterns to the needs of drivers and the business to guide prioritization and problem-solving.
- Influence stakeholders across product, engineering, operations, and leadership, using well-structured analytics and recommendations to drive alignment and action.
- Thrive in a fast-paced environment, delivering high-quality analyses, scalable dashboards, and automated reporting that accelerate decision-making and operational excellence.
What you’ll bring
- Advanced SQL expertise and strong data modeling skills, with the ability to work across large, complex datasets and build accurate, scalable foundations for analytics and reporting.
- Proficiency in Tableau (or similar BI tools), including building intuitive dashboards, operational scorecards, and self-serve analytics that support both technical and non-technical stakeholders.
- Experience applying analytical methods to real business problems, translating raw data into insights that improve operational performance, customer/driver experience, and strategic decision-making.
- Strong communication and storytelling abilities, capable of simplifying complex analysis, influencing cross-functional teams, and presenting clear recommendations to senior leadership.
- A proactive, detail-oriented mindset, thriving in a fast-paced environment while owning deliverables end-to-end, driving continuous improvement, and leveraging AI tools to accelerate analytics and insight generation.
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)
