Senior, Data Analyst – Vans and Gig DSP; Last Mile Delivery

Position Summary

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.

• 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 (Big Query) 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 work streams 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.

• 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.

• 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.

• 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, Big Query.
• Advanced Excel skills.
• Experience leading analytics projects in large, matrixed organizations.
• Strong exploratory data analysis capabilities.
• Excellent written, verbal, and presentation communication skills.

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