Business Analyst, Pricing Strategy, Whole Foods Market

Senior Business Analyst

Whole Foods Market is looking for a Senior Business Analyst to join our Pricing Strategy team. You will own end-to-end pricing analyses — translating pricing science, market dynamics, and business performance data into actionable insights that shape how we price for our customers. As the analytics go-to for pricing strategy, you'll build scalable self-serve reporting, design measurement approaches, and drive recommendations on pricing rules, guardrails, and strategic direction.

This is a high-visibility role. As AI accelerates the pace of our work, you'll help shape what's next for pricing analytics — bridging what our Pricing Science team provides with what Category Pricing and Merchandising teams need, and leveraging emerging AI capabilities to accelerate time-to-insight. We're looking for someone who combines analytical depth with clear communication to senior stakeholders and who thrives on ownership and continuous improvement.

Skills

• Strong ownership mindset — you dive deep, take accountability for your work, and earn trust through consistent delivery
• Expert-level SQL (Redshift preferred) and BI tools (Quick Sight, Tableau); R or Python a plus
• Experience building scalable dashboards and self-serve reporting that drive adoption
• Strong quantitative reasoning — comfortable with large, complex datasets and ambiguous questions
• Excellent communication — able to distill complex analyses into crisp narratives for senior stakeholders
• Proactive and curious — you track food, retail, and natural-products trends and experiment with new tools (including AI/ML)
• A foundation in retail merchandising and/or pricing that lets you operate at both the detail and strategic levels

Key job responsibilities

• Own end-to-end pricing analytics — scope, design, execute, and communicate analyses that inform pricing strategy, rules, and guardrails
• Build scalable, self-serve reporting in Quick Sight and Redshift SQL that lets stakeholders access pricing insights without analyst dependency
• Serve as the analytics subject-matter expert for pricing strategy, proactively surfacing trends, risks, and opportunities in pricing and market data
• Bridge Pricing Science, Category Pricing, and Category Merchandising — translate modeling outputs into practical, category-level recommendations
• Drive recommendations to senior leadership — distill findings into clear, actionable guidance that influences pricing decisions
• Accelerate time-to-insight by leveraging emerging AI capabilities and automation
• Analyze market, competitor, behavioral, and transactional data to evaluate pricing effectiveness, price gaps, and customer response
• Design measurement approaches for evaluating price changes, elasticity, and program performance
• Mentor fellow analysts and contribute to team best practices for data modeling, visualization, and analytical rigor
• Partner cross-functionally with Pricing Science, Competitive Intelligence, Category Merchandising, and Promotions Analytics

A day in the life

You start your morning reviewing pricing performance data, spotting a widening price gap to a key competitor. You update a Quick Sight dashboard you built for Category Pricing — one that lets them slice results without filing an analytics request. Mid-morning, you meet with Pricing Science to refine a model for category-level recommendations. After lunch, you present quarterly pricing insights to a Director-level audience, turning feedback into action items.

You close the day exploring an AI-powered workflow that could halve your analysis time and mentoring a fellow analyst on framing a pricing opportunity for leadership.

Basic Qualifications

• 3+ years of business or financial analysis experience
• 5+ years of Excel (including VBA, pivot tables, array…