Decision Scientist - Retail Store Analytics

Summary

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $97,700 and $206,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Role Number: 200466863