layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Business Analyst, Pricing Strategy, Whole Foods Market at Amazon

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 (QuickSight, 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
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 QuickSight 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

Business Analyst, Pricing Strategy, Whole Foods Market

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A day in the life

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