Principal, Data Analyst

Position Summary

Join the Merchandising Data and Analytics Enablement Team as a Principal Analyst, where you will lead advanced modeling, experimentation, and data integration (including external data) to solve complex merchandising problems across planning and execution.

This role focuses on shaping and improving merchant decision‑making through analytics, ensuring decisions translate effectively into execution and outcomes.

You will work across the merchandising lifecycle, including demand planning, assortment, purchase order execution, fulfillment, and network flows, using data to uncover root causes of misalignment, delays, and inefficiencies.

You will partner with Merchandising stakeholders, Product, Engineering, and Enterprise Data teams to build scalable, trusted solutions that improve demand‑supply synchronization and support automated, data‑driven workflows.

• Partner with Merchandising stakeholders to shape and refine decisions across demand, assortment, and execution using data and advanced modeling.
• Evaluate how decisions translate into execution and outcomes, and identify opportunities to improve performance and decision quality.

• Develop and apply statistical and predictive models, experimentation, and optimization techniques to solve complex problems across merchandising and supply chain.
• Structure ambiguous problems into clear analytical approaches, defining methodologies and success metrics.

• Identify and integrate internal and external (third‑party) data sources to strengthen analysis and uncover opportunities.

• Own end‑to‑end analytical delivery, from planning through execution to measurable outcomes.
• Define and evolve business‑relevant metrics and KPIs, aligned with decision workflows.
• Identify gaps between planning and execution and analyze root causes of inefficiencies and supply‑demand imbalances.

• Communicate insights and recommendations in a clear and compelling manner to stakeholders.
• Partner with cross‑functional teams to deliver scalable solutions.
• Mentor team members and promote strong analytical thinking and best practices.

• Strong proficiency in Python or R and SQL, with experience in modern data platforms (e.g., GCP, Databricks).
• Extensive experience in advanced analytics, statistical modeling, experimentation, and causal inference.
• Proven ability to translate business requirements into scalable analytical solutions and define business‑relevant metrics and KPIs.
• Experience delivering insights that lead to measurable impact and improved decision‑making.
• Experience working with external datasets (e.g., Nielsen
  
  IQ, Circana, or Census) and familiarity with data standards such as GS1 is a plus.
• Strong understanding of data modeling (e.g., star schema, OBT), data quality, and data engineering fundamentals.
• Strong communication skills to influence stakeholders and drive adoption of insights.

• You combine deep analytical rigor with strong business intuition.
• You operate as a thought leader while remaining hands‑on.
• You proactively identify opportunities where data and analytics can unlock new value.
• You mentor others in strong analytical thinking and problem‑solving.

At Walmart, we offer competitive pay as well as performance‑based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company‑paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of…