- Salary
- $80k – $155k
- Location
- (USA) Together Building AR Bentonville Home Office, United States of America
- Type
- Full-time
- Department
- Transportation
- Seniority
- Senior
- Education
- Master
- Source
- Workday
Description
Position Summary...
As a Senior Data Analyst within Walmart’s Last Mile Delivery organization, you will serve as a strategic analytics partner driving business insights and decision support across gig delivery networks. This role sits at the intersection of last mile operations, product, finance, and technology—enabling data-driven decisions that improve service performance, cost efficiency, and operational scalability.You will own performance reporting, KPI definition and governance, deep-dive analyses, and executive-level insight generation that directly informs van and gig strategy. You will also partner closely with Data Engineering to improve data integrity, strengthen reporting infrastructure, and expand visibility by integrating new internal and external data sources.
What you'll do...
About the team:The Delivery Optimization Analytics team supports Walmart’s Last Mile Delivery gig and DSP van operations through strategic analytics, scalable reporting, automation, and business intelligence. The team evaluates key initiatives and delivers actionable insights that improve efficiency, reduce costs, and inform decisions across Delivery Operations and executive leadership.
What you'll do:
- Lead strategic, data-driven analyses to support multi-carrier delivery strategy and ensure service and cost targets are met.
- Turn complex findings into clear recommendations and executive-ready narratives.
- Extract, transform, and model data (Google BigQuery) to power scalable reporting and recurring business reviews.
- Automate reporting workflows and data refreshes to improve speed and reliability.
- Validate, cleanse, and QA data to ensure accurate, trusted metrics.
- Build and maintain dashboards and reporting tools, and partner with Data Engineering to resolve data issues and onboard new data sources (including third-party APIs).
What you'll bring:
- Strong experience in data analysis, including exploratory analysis and statistical methods to uncover trends and insights.
- Proficiency in Tableau and/or Power BI to build clear, decision-ready dashboards and reports.
- Solid data quality skills (profiling, cleansing, validation, and ongoing monitoring) to ensure trusted metrics.
- Hands-on ETL and data transformation experience, with strong SQL and familiarity with modern data warehouses/databases.
- Ability to translate business needs into scalable analytics solutions aligned to strategic goals.
- Proven cross-functional collaboration skills to deliver actionable, data-driven recommendations.
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)