Responsibilities

• Lead the WWGS Marketing Analytics team to deliver automated reporting, dashboards, and insights that enable marketing leaders to optimize channel investments and drive customer engagement across Whole Foods Market, Amazon Fresh, and new grocery formats.
• Define and execute the analytics strategy for measuring marketing effectiveness across all channels including email, push notifications, paid media, organic search, and onsite experiences.
• Partner with Marketing, Finance, BIE, and Consumer Insights teams to understand business needs and translate them into analytical solutions with clear success criteria.
• Drive the automation of manual reporting processes by partnering with BIE to build data pipelines and self-service dashboards that scale analytics capabilities.
• Deliver automated inputs for Weekly Business Reviews, Monthly Business Reviews, Monthly Performance Reports, and Quarterly Planning Reports that provide marketing leaders with timely, accurate insights on campaign performance and business trends.
• Establish measurement frameworks and analytical standards that ensure consistent, high-quality outputs across all WWGS marketing analytics initiatives.
• Build and maintain dashboards using tools such as QuickSight, Tableau, or similar platforms to enable self-service access to marketing performance metrics.
• Define team goals, allocate resources, and manage project timelines to balance tactical delivery against strategic capability-building.
• Recruit, develop, and retain bar-raising talent with skills in marketing measurement, statistical analysis, data engineering, and business intelligence.
• Provide regular performance feedback, facilitate career development conversations, and create opportunities for team members to grow their skills and advance their careers.

Requirements

• Bachelor's degree in Engineering, Math, Business, or a related quantitative field
• 5+ years of business analyst, data analyst or an equivalent role experience
• Experience in management directly

Preferred

• Master's degree in Business, Economics, Statistics, Engineering, or a related field
• Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
• Experience in retail, consumer packaged goods, or grocery industry with understanding of marketing dynamics and customer behaviors specific to these sectors.