Apple

Data Visualization Specialist

Job description

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a Data Visualization Specialist to help design and build innovative and scalable reporting and rapid business intelligence solutions; applications; and analytical tools and UI that support internal business and executive teams with essential information for more informed decisions. Overview The Data Visualization Specialist will be focused on translating statistical data in ways that are optimized for our business management teams, spanning iPhone, iPad, Mac, iPod, Apple TV, Apple Watch, and the intersection of customer product purchases and Apple Services engagement (e.g. Apple Media Products, iCloud). This role will be responsible for turning complex data into clear information through visual displays, leveraging a deep understanding of the fundamental principles of information design, user interaction, and visual best practices that resonate with viewers. This role will also understand underlying data structures and highly dimensional data models; and have a drive for delivering high performance solutions on big data. We are looking for someone who can interpret requirements, make informed design decisions and collaborate to deliver high quality finished products and knows when and how to leverage proven design patterns, standards, guidelines, and libraries. Additionally, this role will work within the team across engineering, applied analytics, and data scientists to design and implement production-ready data solutions to facilitate data analyses, exploration, simulation, and reporting Key Qualifications 5+ years of experience designing, developing, testing and implementing high-performance, scalable, and secure business intelligence and analytic solutions. Deep experience using Tableau for ad-hoc analysis and dashboards. Experience with open source data visualization technologies and frameworks, e.g. Apache Superset, Plotly, Python, R, d3. Experience with web and iOS technologies is a plus. Proficient in SQL and programming (Python preferred). Experience working with big data technologies is a plus (Hadoop, Spark). Experience with data science and machine learning analyses is a plus. Outstanding written, verbal, and presentation skills with the ability to develop and present conclusions and recommendation to senior executives. Able to work effectively on sometimes ambiguous data and constructs within a fast changing environment, tight deadlines and priority changes. Proven ability to manage multiple projects at a time. Highly motivated and responsible for self-learning Description The Data Visualization Specialist will be focused on translating statistical data in ways that are optimized for our business management teams, spanning iPhone, iPad, Mac, iPod, Apple TV, Apple Watch, and the intersection of customer product purchases and Apple Services engagement (e.g. Apple Media Products, iCloud). This role will be responsible for turning complex data into clear information through visual displays, leveraging a deep understanding of the fundamental principles of information design, user interaction, and visual best practices that resonate with viewers. This role will also understand underlying data structures and highly dimensional data models; and have a drive for delivering high performance solutions on big data. We are looking for someone who can interpret requirements, make informed design decisions and collaborate to deliver high quality finished products and knows when and how to leverage proven design patterns, standards, guidelines, and libraries. Additionally, this role will work within the team across engineering, applied analytics, and data scientists to design and implement production-ready data solutions to facilitate data analyses, exploration, simulation, and reporting Education & Experience Prefer: Master’s in Computer Science or Engineering, or equivalent experience. Role Number: 200183933

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