Senior Sales Analyst – Walmart Poultry

Tyson Foods•Springdale, AR
•Onsite

About The Position

The Senior Sales Analyst for Walmart Poultry at Tyson Foods turns internal, customer, and market data into actionable insights to improve decision-making and drive growth across the Poultry portfolio. The role develops sales reporting and analytical tools, supports customer business management and execution, and partners cross-functionally to deliver accurate reporting, stronger category performance, and effective implementation of business initiatives. This is an office-based role, five days per week, with occasional after-hours availability required. The role also calls for responsible use of approved AI tools, including protecting sensitive information, following company policies, critically validating AI-generated outputs, and using professional judgment.

Requirements

  • Bachelor’s degree or relevant professional experience.
  • Demonstrated ability to analyze large data sets, develop reporting tools, and convert findings into clear, customer-focused recommendations.
  • Strong analytical skills, including the ability to interpret complex data, identify business drivers, and generate actionable insights.
  • Understanding of sales, volume, revenue, profitability, and customer execution across a complex product portfolio.
  • Ability to communicate complex insights clearly to leadership, cross-functional teams, and external partners, including Walmart.
  • Ability to collaborate across teams, influence stakeholders, and align actions with business priorities.
  • Ability to adapt and solve problems in a fast-paced, dynamic environment.
  • Willingness and ability to perform the physical requirements of the job with or without reasonable accommodation.

Nice To Haves

  • 1–3 years of experience in sales analytics, category analysis, customer planning, business intelligence, or a related field.
  • CPG or food industry experience.
  • Experience working with customer POS data and syndicated data platforms such as Circana.
  • Experience with Walmart systems, including Scintilla, Item 360, and related reporting or eCommerce platforms.
  • Experience developing recommendations that connect performance trends and customer needs to profitable growth.

Responsibilities

  • Analyze internal, Circana, and Scintilla data to identify performance trends, risks, and growth opportunities across categories, subcategories, brands, and SKUs.
  • Provide weekly and monthly performance updates and recommendations to Sales and commercial leadership.
  • Translate business challenges, questions, and user needs into analytical solutions and actionable recommendations.
  • Evaluate pricing, assortment, distribution, promotional activity, inventory, consumer behavior, and sales trends to explain performance and guide decisions.
  • Define data integration requirements and interface specifications for customer, third-party, and internal sources used in sales reporting and analytical systems.
  • Develop, maintain, and enhance dashboards, scorecards, and analytical tools for customer business managers and commercial leadership.
  • Encourage adoption of sales analytics tools and understanding of performance metrics that support omni-channel growth.
  • Support line reviews, seasonal program recaps, customer presentations, internal business reviews, and ad hoc analysis with clear insights and recommendations.
  • Work directly within Walmart systems to support sales execution and day-to-day business management.
  • Manage item setup and audit digital shelf content through Item 360 and other eCommerce platforms.
  • Coordinate sample procurement and delivery for customer initiatives and sales team needs.
  • Partner with Sales, Supply Chain, Marketing, SS&P, and Customer teams to execute business initiatives.
  • Improve reporting processes and business routines through scalable solutions, automation, and best practices.
  • Establish consistent definitions, metrics, and standards to improve data quality, accuracy, and speed of decision-making.
  • Use approved AI tools responsibly, protect sensitive information, follow company policies, validate AI-generated outputs, and apply professional judgment.

Benefits

  • Paid time off
  • 401(k) plans
  • Health benefits
  • Life insurance
  • Dental insurance
  • Vision insurance
  • Prescription drug benefits
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