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Sr Business Analyst, Intelligence, Whole Foods Market

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Amazon Inc.
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
  • Business
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 74300 - 130100 USD Yearly USD 74300.00 130100.00 YEAR
Job Description & How to Apply Below
Sr Business Analyst, Competitive Intelligence, Whole Foods Market

Job :  |  Services LLC

Whole Foods Market is looking for a sharp, driven, and analytically minded Business Analyst II to join our Competitive Intelligence team. You will own end-to-end analyses that illuminate the competitive grocery landscape — translating retailer pricing, assortment, and performance data into strategic insights that directly shape our business. As the analytics go‑to for competitive intelligence, you'll turn complex competitive data into clear, decision‑ready guidance.

This is a high‑visibility role with real impact. The right candidate brings a strong foundation in retail merchandising, dives deep into complex pricing and assortment performance metrics, understands the business context behind the data, and continuously strives for deeper insight. As AI accelerates the pace of our work, you'll help shape what's next for competitive analytics — building scalable, self‑serve reporting and leveraging emerging AI capabilities to accelerate time‑to‑insight.

This role goes beyond reporting: you'll conduct deep‑dive analyses on pricing, assortment, and competitive positioning, surfacing the "so what" behind the data. Partnering closely with Pricing & Merchandising leaders, you'll develop strategy, launch case studies, and deliver clear, actionable findings — building repeatable analytical frameworks that improve the team's speed and depth over time. We're looking for someone who combines analytical depth with the ability to communicate clearly to senior stakeholders and who thrives on ownership and continuous improvement.

Competitive intelligence is a strategic priority at Whole Foods Market. You'll have the opportunity to shape how we understand and respond to the competitive landscape, with the data, resources, and leadership support to make a real difference.

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, market news, and natural‑products trends, read popular and trade press widely, and experiment with new tools (including AI/ML)
  • A strong foundation in retail merchandising that lets you contextualize pricing and assortment data within broader market dynamics, operating at both the detail and strategic levels
Key job responsibilities
  • Own end‑to‑end competitive analyses — scope, design, execute, and communicate deep‑dives on pricing, assortment, and competitive positioning that surface the "so what" behind the data
  • Gather retail pricing, assortment, promotion, and location data on competitors, leveraging third‑party sources and primary research
  • Build scalable, self‑serve reporting in Quick Sight and Redshift SQL that lets stakeholders access competitive insights without analyst dependency
  • Serve as the analytics subject‑matter expert and go‑to resource for Global and Regional Merchandising teams in competitive situations
  • Analyze competitive data to inform strategy, highlight opportunities, and drive recommendations for pricing and assortment adjustments
  • Partner closely with Pricing & Merchandising leaders to develop strategy, launch case studies, and deliver actionable findings
  • Build repeatable, scalable analytical frameworks that improve the team's speed and depth
  • Communicate results clearly to senior business leaders,…
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