Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work — and to each other. Because learning from the people here means we’re learning from the best. Retail Operations creates the tools and programs that empower our teams to provide, a one of a kind, only at Apple experience. We do this by obsessing over the employee and customer experience, and driving a global strategy that sets the bar.
You will lead Store Analytics for Apple Retail and be a trusted partner to the Global Retail Leadership Team. Your team of data engineers, decision scientists and analysts will design, refine and create innovative analysis and data products and leverage large, complex data sources and market research to derive actionable insights and deliver dynamic and intuitive decision tools.
Develop and implement a future-forward retail analytics strategy with a strong focus on AI/ML to support deep business insights and data-driven decision-making across the organization.
Build strong team culture and the capabilities of individuals through effective employee development, involvement, communication and coaching.
You take a hands-on approach to overseeing the development of predictive models and forecasting tools to anticipate demand and optimize store operations.
Create and present compelling presentations to share your findings with the executive team.
Regularly evaluate key performance indicators and benchmarks to measure store performance, customer behavior, and sales trends.
15+ years of experience in Data Analytics/Business Intelligence or equivalent experience10+ years of people leadership experienceSome travel is required