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Senior, Data Engineer, Data Strategist - Catalog Solutions

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Walmart
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 180000 USD Yearly USD 90000.00 180000.00 YEAR
Job Description & How to Apply Below

Position Summary

This role works across Catalog Solutions and partner teams to identify where product data, supply chain signals, and classification outputs are not fit for business use, and to turn those gaps into practical improvements. It combines hands-on analysis with cross‑functional problem solving, helping drive better data accessibility, usability, and readiness through existing tooling, analytics, and platform teams.

What you’ll do About the Team

Catalog Solutions sits between core item data and the business processes that depend on it across merchandising, supply chain, stores, compliance, and related areas. We work on the shared capabilities that make product‑linked data, classifications, supply‑chain signals, and decision outputs more usable, consistent, and actionable across the company. The team focuses on how these inputs and outputs are shaped, improved, and applied in real workflows.

We partner closely with business, product, engineering, and analytics teams to make sure the work is practical, scalable, and connected to how the business actually operates.

About the Role

As Senior Data Engineer / Data Strategist, you will lead how Catalog Solutions improves the quality and usability of data and outputs the business depends on, including item‑related data, classifications, supply‑chain signals, and decision outputs. This role sits in a strategy‑oriented team, but it is hands‑on where it needs to be. You will work across stakeholders and partner teams to understand where the current state is falling short, define what needs to improve, and help move that work forward.

Some of that will involve direct analysis and discovery. Some of it will involve rapid prototyping and building while working with engineering and platform teams to shape and scale enhancements. This is a strong fit for someone who is comfortable moving between data, business context, and execution — someone who can investigate issues, bring structure to ambiguity, and help turn findings into practical improvements.

What

You’ll Do
  • Identify where data, classifications, supply chain signals, or decision outputs are not meeting business needs.
  • Work through source questions, logic questions, and usability gaps to clarify what should change.
  • Use SQL and targeted analysis to investigate issues, validate assumptions, and support decision‑making.
  • Help translate findings into clear actions, priorities, and improvement plans.
  • Prototype first, then partner with engineering, platform, and business teams to scale enhancements.
  • Support efforts to make outputs more consistent, useful, and easier for downstream teams to rely on.
  • Bring structure to cross‑functional work where ownership, requirements, or next steps are not yet clear.
How Success Is Measured
  • The business has greater confidence in the data and outputs it relies on.
  • Important gaps are identified early and turned into practical improvements.
  • Data and decision outputs become easier to use across real workflows.
  • Cross‑functional efforts move more smoothly because issues are better defined, prioritized, and fixed efficiently.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, Business Analytics, Economics, or related field, or equivalent practical experience.
  • 4+ years experience in data engineering, analytics, data strategy, or related roles.
  • Strong SQL and comfort working directly with complex data to investigate issues and validate logic.
  • Experience translating business questions into structured analysis and actionable recommendations.
  • Experience working across business, product, engineering, and analytics teams.
Preferred Qualifications
  • Experience in catalog, merchandising, supply chain, store operations, fulfillment, compliance, or similar operational domains.
  • Experience improving data quality, consistency, or usability in a business‑facing environment.
  • Experience working in ambiguous spaces where requirements are not fully defined up front.
  • Strong problem‑solving skills and the ability to connect detailed analysis to broader business needs.
Benefits

At Walmart, we offer competitive pay as well as performance‑based bonus awards and…

Position Requirements
10+ Years work experience
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