Data Analyst: Retail Store Analytics

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. Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As a Data Analyst on the Retail Store Analytics team, you will play an integral role in helping Apple Retail make decisions using data. Design, refine, create, and maintain innovative analyses and data products.

You will partner with cross-functional teams to drive adoption and usability of Apple Retail’s key data products. Design and implement analytics and interim reporting tools to support insights on a wide variety of topics including product launches, customer experience, and operational performance. Other responsibilities include the following: - Quickly outline and build customized analyses for Retail leadership and perform all aspects of analysis including data acquisition and manipulation, programming, data visualization, documentation, and presentation of results. - Develop a deep understanding of our Retail customers, employees, and stores. - Contribute to the development of tools to improve team efficiency and productivity. - Support ongoing adoption of key reporting tools for Global Retail Support and Store teams around the world.

2+ years of related work experience in decision/data science, consulting, or other related business facing role Bachelor’s degree Fluency in SQL for data access, manipulation, and validation Proficiency in Python for data analysis

4+ years of related work experience in decision/data science, preferably in an operations role Bachelor’s degree in related quantitative field Passion for data visualization and information design (proficiency in either Python visualization libraries, d3, and Tableau) Skilled collaborator across both technical and non-technical peer groups Capable of clearly communicating complex analyses to a non-technical audience, including extensive experience presenting to leadership groups (proficiency in Keynote preferred) Ability to initiate, refine, and complete projects with minimal guidance