Decision Scientist: Retail Store Analytics

Decision Scientist: Retail Store Analytics Austin,Texas,United States Corporate Functions Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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 develop a culture where everyone belongs and is inspired to do their best work. Join Apple, and help us leave the world better than we found it! Were 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 were 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. Inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best work. 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. **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. 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. - 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. - Contributes to an inclusive environment through respecting each others' differences and having the curiosity to learn. - Demonstrates Apple's values of inclusion and diversity in daily activities. **Minimum Qualifications** + 4+ years of related work experience in decision/data science, consulting, or other related business facing role + Bachelors degree in quantitative field or related experience + Fluency in SQL for data access, manipulation, and validation + Proficiency in Python for data analysis **Key Qualifications** **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 **Education & Experience** **Additional Requirements** + 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .