About this role
It is a role defined by the breadth of what it touches. You will develop a deep understanding of Apple's manufacturing data ecosystem, build trusted relationships across global teams, and over time, open doors to many directions within Apple — engineering, program management, data, operations, and beyond. If you are intellectually curious, technically capable, and want to learn how Apple's supply chain works from the inside, this is an exceptional place to start.
BS or MS in Computer Science, Information Systems, Data Science, or a related discipline; equivalent professional experience will be fully considered
Communication: Native/fully fluent in Mandarin and highly proficient in English. Capable of translating complex technical findings into clear insights for both technical engineers and stakeholders
Problem Solving: Exceptional analytical mindset with the ability to take incomplete or ambiguous information, form structured hypotheses, and drive issues to actionable conclusions.
Data & Analytical Skills: Good SQL proficiency to extract, analyze, and validate complex datasets, coupled with solid experience in Excel or equivalent tools for foundational reporting.
Experience: Proven track record in technical support (L2/L3), business analysis, or data analyst roles within a large-scale enterprise environment.
Travel: Willingness and ability to travel (up to 20%) to various manufacturing locations across China.
Supply Chain & Business Analysis: Strong background supporting B2B platforms, manufacturing, supply chain, or operations technology environments, combined with familiarity in UAT processes and formal requirements documentation.
Data Analytics & Visualization: Proficiency in data visualization tools (Tableau, Grafana, or equivalent) to design and build operational dashboards, paired with Python scripting experience for data extraction, automation, and investigation workflows.
AI Integration & Modern Tooling: Demonstrated experience using AI tools (LLMs, AI-assisted development, agentic workflows) to develop reports and improve operational efficiency. Exposure to API integrations and MCP (Model Context Protocol) implementations is a significant advantage.
Big Data & Cloud Tech: Familiarity with big data ecosystems (Kafka, Elasticsearch, EKS) and cloud platforms (AWS, GCP).
Scripting: Python scripting experience for data extraction, automation, or investigation workflows
Description from Apple's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
