Promotions Analytics Lead

Amazon; Austin (TX); On-site; USD 74,000 - 130,000; Full time

Job summary

Whole Foods Market seeks a Business Analyst for Promotions Analytics to own end-to-end analyses driving promotional strategy. You will translate complex questions into insights, build scalable self-serve reporting, and influence merchandising, marketing, and category decisions.

Partnering within the Promotion Analytics team, you will accelerate insights and explore AI-enabled enhancements. You’ll communicate findings to senior stakeholders, design measurement approaches, and identify

Qualifications

• 4+ years of business/data analyst experience.
• Experience defining requirements and using data to drive insights.
• Experience with Excel.
• Experience with SQL.
• Experience influencing stakeholders.

Responsibilities

• Own end-to-end promotional analytics—scope, design, execute, and communicate analyses.
• Build scalable, self-serve reporting in QuickSight and Redshift SQL.
• Act as analytics SME for the business area; identify trends, risks, opportunities.
• Translate findings into clear recommendations for promotional strategy and investment.
• Leverage AI capabilities to streamline data workflows and expand analytics coverage.
• Analyze market and transactional data to evaluate promotional effectiveness.

Skills

SQL

BI tools

Dashboard building

Data storytelling

Stakeholder communication

AI/ML awareness

Ownership & accountability

Prioritization

Education

Bachelor's degree or equivalent

Tools

Amazon Redshift

QuickSight

Tableau

Job description

Whole Foods Market seeks a Business Analyst for Promotions Analytics to own end-to-end analyses driving promotional strategy. You will translate complex questions into insights, build scalable self-serve reporting, and influence merchandising, marketing, and category decisions.

Partnering within the Promotion Analytics team, you will accelerate insights and explore AI-enabled enhancements. You’ll communicate findings to senior stakeholders, design measurement approaches, and identify