At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.
Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
The Ad Platforms Data Insights team is seeking an engineer focused on Tableau Development and Administration to support the development of the next generation of analytical solutions.
In this role you will work as a key member of a data-centric team to drive the development, execution, and continuous improvement of core data analytics infrastructure and processes.
You will be a key enabler for teams of analysts, data scientists, and business users. A successful candidate will have experience building Tableau dashboards and administering Tableau Server.
Working with multiple data storage and analysis toolsets including modern distributed technologies such as SparkSQL, Presto, Hive, and Kafka is a plus.
Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads.
Partner with Engineering to ... (design, build, support)Own and develop Tableau based solutions that translate analytical questions into effective reports that drive business action.
Automate and optimize existing Tableau and data processing workloads by recognizing patterns of data and technology usage and implementing solutions.
Strong understanding of the intersection between analytics and engineering and a proactive approach, focusing on reusable solutions to improve efficiency and time to insight.
Advise partners on effective use of Tableau and other data technologies based on business and technology needs.Must be able to work in a rapidly changing environment and perform effectively in a sprint based agile development environment.