(USA) Senior, Data Analyst – Vans and Gig DSP (Last Mile Delivery)

Walmart•Bentonville, AR

1d•$80,000 - $155,000•Onsite

About The Position

As a Senior Data Analyst – Vans and Gig DSP within Walmart’s Last Mile Delivery (LMD) organization, you will serve as a strategic analytics partner driving business insights and decision support across asset-based and gig delivery networks. This role operates 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 development, deep-dive analytics, and executive-level insight generation that directly influences van and gig strategy. In addition, you will collaborate with Data Engineering to enhance data integrity, strengthen reporting infrastructure, and expand visibility through new internal and external data sources. The role involves leading data-driven analysis for multi-carrier delivery strategies, managing metric performance, conducting deep-dive analyses, and translating findings into business recommendations. It also includes data management, reporting automation, quality assurance, dashboard creation, and KPI development. Furthermore, the Senior Data Analyst will partner with Data Engineering on data discrepancies and infrastructure improvements, lead cross-functional analytics workstreams, and promote data literacy across various teams to drive operational excellence.

Requirements

Bachelor’s degree in Business, Finance, Accounting, Statistics, Computer Science, or related field OR 2+ years of experience in data analytics or a related field.
Experience building dashboards and scalable reporting solutions.
Strong quantitative problem-solving skills with the ability to scope and prioritize business requirements.
Strong ability to translate complex data into actionable business insights.
Advanced analytical thinking with a structured, problem-solving mindset.
Operational understanding of last mile or asset-based delivery environments.
Experience influencing cross-functional partners through data.
High ownership, attention to detail, and bias for action.
Ability to operate effectively in fast-paced, evolving environments.
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.

Nice To Haves

Experience in last mile, transportation, supply chain, or logistics analytics.
Experience collaborating with Data Engineering teams on data pipeline and infrastructure improvements.
Experience integrating third-party API data sources.
2+ years of experience with SQL, Python or R, Tableau, Power BI, Looker, BigQuery.
Advanced Excel skills.
Experience leading analytics projects in large, matrixed organizations.
Strong exploratory data analysis capabilities.
Excellent written, verbal, and presentation communication skills.
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

Lead data-driven analysis supporting multi-carrier delivery strategies, ensuring service and cost targets are met.
Serve as the primary point of contact for metric performance, trend analysis, and reporting discrepancies.
Conduct deep-dive analyses to uncover trends, patterns, and root causes within large last mile datasets.
Translate analytical findings into clear business recommendations and executive-ready narratives.
Apply advanced analytical methodologies to support complex business questions and pilot initiatives.
Extract, transform, and model data from Google Cloud Platform (BigQuery) to support scalable reporting.
Automate reporting workflows and data refresh processes.
Perform data validation, cleansing, and quality assurance to ensure accuracy and reliability.
Build and maintain dashboards and reporting tools that support ongoing business reviews.
Develop KPI scorecards and operational tracking mechanisms.
Deliver recurring and ad hoc insights with speed and precision.
Partner with Data Engineering to investigate and resolve data discrepancies and reporting anomalies.
Identify upstream data issues and define requirements for improved ingestion and transformation.
Support integration of new data sources, including third-party APIs, to expand operational visibility.
Partner with Product, Operations, Finance, Technology, and Field teams to define KPIs and success metrics.
Lead analytics workstreams within large-scale initiatives.
Drive alignment across stakeholders in a highly matrixed environment.
Promote data literacy and adoption of analytics-driven decision-making.
Monitor driver engagement, delivery success, and overall DSP performance metrics.
Design analytical solutions supporting large-scale transportation initiatives.
Identify process improvement opportunities that reduce risk and improve efficiency.

Benefits

Competitive pay
Performance-based bonus awards
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
Short-term disability
Long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U (Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities)
Tuition, books, and fees completely paid for by Walmart (for Live Better U programs)
Annual or quarterly performance bonuses
Stock