Manager, Retail Engagement & Marketing Analytics

Apple's Retail Engagement & Marketing (REM) team is seeking an experienced analytics leader to drive data-driven decision-making across their retail operations. This role combines deep technical expertise with people leadership, focusing on transforming complex data into actionable insights that shape retail strategy and customer experiences.

The position offers an opportunity to work at one of the world's most innovative technology companies, where you'll lead a team responsible for defining and implementing analytics frameworks across multiple channels. You'll be at the intersection of retail, marketing, and technology, working with cross-functional teams to drive business outcomes through data-driven insights.

As the Manager of Retail Engagement & Marketing Analytics, you'll be responsible for building and maintaining comprehensive analytics systems, from data pipeline management to visualization and insights delivery. The role requires both technical proficiency in data analytics tools and strong leadership capabilities to mentor and develop team members.

The ideal candidate brings a combination of technical expertise in SQL, statistical modeling, and data visualization tools, along with proven experience in team management. You'll work in Apple's Cupertino headquarters, contributing to the company's mission of enriching lives through technology and exceptional retail experiences.

This role offers competitive compensation, comprehensive benefits, and the opportunity to shape how one of the world's most valuable brands uses data to enhance its retail presence. You'll be part of a diverse, multi-disciplinary organization that values innovation, inclusion, and leaving a positive impact on the world.

Key aspects of the role include developing analytics frameworks, managing cross-functional relationships, implementing quality controls, and staying current with AI innovations. You'll have the opportunity to influence strategic decisions through data-driven insights while building and leading a high-performing analytics team.