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Planogram Analyst - Walmart Team

Tyson Foods

Corporate Springdale, ARMidH-1B sponsor company
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Location
Corporate Springdale, AR
Work model
On-Site
Level
Mid
H-1B history
6 approvals (FY2023)
Posted

About this role

Job Details

Planogram Analyst - Walmart Team JOB SUMMARY The Planogram Analyst is a member of the Merchandising Center of Excellence (MCOE), responsible for planogram development, space and assortment analytics, data integrity, and planogram relay support across multiple Walmart categories. Working as a shared resource under the direction of the Technical Manager, this role partners closely with Category Merchandising Advisors to deliver accurate, timely, and high-quality planogram execution outputs. The role requires strong attention to detail, the ability to manage competing priorities, and a consistent commitment to quality.

RESPONSIBILITIES

Develop planograms across multiple categories using approved assortment, clustering, and fixture assumptions; build multiple planogram versions as needed to support merchant decision-making and store variability Review and validate all planograms for adherence to strategy and conformity to MCOE standards and Walmart retailer guidelines; apply revisions promptly based on feedback or evolving requirements Conduct detailed space and assortment analytics at the store, cluster, and item level, including SKU productivity, facing optimization, holding power, and duplication identification Support development of data-driven recommendations for space allocation and assortment optimization in partnership with Merchandising Advisors Manage and maintain planogram data environments, including store and item attribution, assortment and clustering data, performance data inputs, DC realignments, and trait maintenance Assist in end-to-end planogram relay execution across multiple categories; track progress and deliverables, communicate status and risks proactively, and coordinate with Merchandising Advisors to ensure alignment on timelines and outputs Support buyer-facing planogram discussions alongside the Merchandising Advisor as needed Execute all work in alignment with MCOE planogram playbooks, templates, workflows, and quality standards; flag process or workflow improvement opportunities to the Technical Manager Conduct ad hoc analysis to support merchandising decisions, category reviews, performance reporting, and business questions as directed.

REQUIREMENTS

Education Bachelor’s degree in Business, Analytics, Retail, or related field; or equivalent combination of education and experience Experience 1–2 years’ experience in Category Management, Analytics, Retail, or a related field; retail or CPG internship experience counts toward this requirement Skills Strong attention to detail with the ability to manage multiple tasks and meet deadlines in a fast-paced environment Analytical aptitude with the ability to manage and interpret complex data sets Clear written and verbal communication skills, including comfort in professional settings such as buyer calls Collaborative work style with a genuine interest in merchandising, retail analytics, or category management   Technical Skills Strong proficiency in Microsoft Excel; experience with broader Microsoft Office Suite Familiarity with JDA/BlueYonder space planning software or CARM a plus; training provided Understanding of Walmart’s end-to-end planogram relay development process helpful but not required Travel Limited travel may be required LOCAL CANDIDATES WILL BE GIVEN PRIORITY All professional team members are expected to demonstrate responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs. Individual Contributors should demonstrate the ability to integrate AI into daily work, improve efficiency through AI-enabled solutions, evaluate outputs critically, and apply professional judgment when using AI. People Leaders should demonstrate the ability to drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of

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