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Apple Decision Scientist Retail Store Analytics United States, California, Cupertino 364791806
19.12.2024
Description
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. - Support subject areas such as Ownership Operations, Real Estate, Service Operations, People Planning, Commercial Programs, and more.
Minimum Qualifications
- - 4+ years of related work experience in decision/data science, consulting, or other related business facing role
- - Bachelor’s degree in quantitative field or related experience
- - Fluency in SQL for data access, manipulation, and validation
- - Proficiency in Python for data analysis
Preferred Qualifications
- - 6+ years of related work experience in decision/data science, preferably in an operations role
- - 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 addressing leadership groups (proficiency in Keynote preferred)
- - Ability to initiate, refine, and complete projects with minimal guidance
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 $112,900 and $188,100, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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