Data Analytics Manager

Apple • Seattle, WA

76d

About The Position

People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Service Engineering (ASE) team powers some of Apple's most beloved services - including the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Pay. Our data investigation analysts operate at scale to uncover insights that enhance data quality, strengthen engineering perfection, and ensure data products deliver value across every use case. We are seeking a Manager, Data Investigations to lead and grow a team of highly skilled analysts. This leader will drive strategic initiatives, foster innovation, and ensure the delivery of actionable insights for an exciting set of data problems outstanding to ASE. If you have a strong background in analytics, a passion for problem solving and developing people, and the ability to bridge technical detail with project strategy, we'd love to hear from you.

Requirements

• Hands-on experience with big data technologies (Spark, Hive, Flink, Airflow, etc.).
• Familiarity with cloud environments and container technologies (e.g. Kubernetes).
• Experience guiding analytics in commerce, payments, or large-scale online services.
• Background in developing scalable data pipelines and automation solutions.

Responsibilities

• Lead, mentor, and inspire a team of Data Investigation analysts.
• Partner with multi-functional leaders in data engineering, data science, data product to set analytical strategy and priorities for their data quality initiatives.
• Ensure high-quality analytics results - from root cause and impact analysis to automated dashboards and monitoring solution to find deep insights about data understanding.
• Guide your team in applying statistical methods, data science models, and advanced analytics to complex data challenges.
• Oversee the development of data tools, pipelines, and automation to improve efficiency and scalability.
• Translate technical findings into clear, impactful recommendations to engineering and data product leaders.
• Foster a culture of continuous learning, collaboration, and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees