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 ourteams 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.

Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail. Leverage large and complex data sources from across Apple.

You will partner with cross-functional teams to identify, create, and maintain metrics and data pipelines to support analytics, reporting, and key decisions on a wide variety of topics including product launches, customer experience, and operational performance. Other responsibilities include the following:
• Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting.
• Collaborate with other data scientists, analysts, and engineers to build full-service data solutions.
• Work with cross-functional business partners and vendors to acquire and transform raw data sources.
• Develop a deep understanding of our retail customer base and purchase choices and contribute to the development of tools to improve business efficiency and productivity.

4+ years of related work experience in decision/data science, consulting, or other related business facing roleBachelor’s DegreeFluency in SQL and Python, including schema design and data modelingExperience building robust and scalable data processes and pipelines for modeling, analysis, and reporting