Job Location: Cupertino, CA
Summary
Posted: Jul 25, 2022
Weekly Hours: 40
Role Number:200403026
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. Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As a Decision Scientist on the Retail Store Analytics team, you will play an integral role in helping Apple Retail make decisions using data. Design, refine, and create innovative analyses and data products. Leverage large and complex data sources, derive actionable insights, deliver dynamic and intuitive decision tools, and present your findings to key executives. Partner with our Data Infrastructure, Advanced Analytics, and Business Intelligence teams to take your work deeper and share it further.
Key Qualifications
- 2+ years of related work experience in decision/data science, consulting, or other related business facing role
- Fluency in SQL for data access, manipulation, and validation
- Proficiency in either Python or R for data analysis
- Passion for data visualization and information design (proficiency in either Python visualization libraries, d3, or Tableau preferred)
- 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
Description
You will partner with cross-functional teams to identify, frame, prioritize, and answer business questions where analytics can be most impactful. Design and implement analytics and reporting tools to support key decisions on a wide variety of topics including product launches, customer experience, and operational performance. 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. Pursue continued learning & development through coursework, conferences, collaboration, and store visits. Contribute to the development of tools to improve team efficiency and productivity. Support subject areas such as Ownership Operations, Real Estate, Service Operations, People Planning, Commercial Programs, and more.
Education & Experience
Minimum of bachelor’s degree, preferably in related quantitative field
Additional Requirements
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