> job detail
A
👽Other
Tag Management & Infrastructure Analyst
Apple · Shanghai
// classified as
Other (Adjacent or hard to classify.)
what we observed
- first seen by us
- Sep 4, 2026
- times checked
- 2
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location
Shanghai
languages
—
tools
aws
> stack
aws
> description
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s 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 foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. The Retail Online Analytics team is seeking a Tag Management & Infrastructure Analyst with deep expertise in tag management, Adobe Analytics, and Adobe Experience Platform to lead the design and implementation of scalable, privacy-centric measurement solutions across Apple’s web and native app ecosystem.
To ensure compliance with China’s Personal Information Protection Law (PIPL) guidelines, we are transitioning from a single global reporting suite (hosted on AWS) to a localized data architecture. We are seeking a skilled, China-based resource to lead the configuration, implementation, and alignment of a brand-new local instance of Adobe Analytics and Adobe Target.
This role is critical in bridging localized compliance requirements with global data consistency and ensuring our analytics teams have the high-quality, aggregated data they need for business decisions.