Sr. Business Intelligence Analyst, Whole Foods Market, Supplier Engagement

We're seeking a Sr. Business Intelligence Analyst to empower our Supplier Engagement team with data-driven insights and automated analytics solutions. The ideal candidate combines expertise in business intelligence, data visualization, and strategic analysis with strong business acumen, enabling them to transform complex commodities, merchandising, and negotiation data into actionable strategies. This role requires the ability to build self-service reporting tools using Amazon AI capabilities, partner across functions with Merchandising and Negotiation Manager teams, and communicate effectively with stakeholders at all levels. You will leverage analytical methods and AI-powered tools to uncover and interpret data, with the goal of optimizing supplier relationships, enhancing merchandising performance, and driving category growth.

Key job responsibilities
• Develop and maintain automated reporting systems and dashboards using QuickSight, Tableau, and other BI tools that enable comprehensive analysis of supplier performance, market trends, and category opportunities across merchandising and negotiation functions
• Build automated negotiation tools, interactive dashboards, and self-service reporting solutions that support joint business planning and category reviews, empowering teams to independently access and act on critical supplier and category performance data
• Leverage Amazon AI tools ( Bedrock applications, and other generative AI capabilities) to enhance data reporting and analysis, creating intelligent insights that identify revenue opportunities and optimize merchandising strategies
• Conduct data-driven analysis of commodity markets, supplier performance, and category trends using advanced SQL and BI tools to derive key insights and actionable recommendations that improve merchandising business outcomes
• Partner with Merchandising and Negotiation Manager teams to shape the analytics strategy, communicate complex findings through clear visualizations and executive presentations, and drive data-informed decisions that align stakeholders around business objectives
• Lead cross-functional analytics initiatives that improve business processes, optimize supplier negotiations, and enhance category management effectiveness