Analytics Engineer — Supply Chain (Business Process Re-engineering)
Core
Design and build data models, semantic layers, and analytics products to transform how Apple's Worldwide Operations organization uses data, analytics, and AI to run and improve the supply chain.
Role type
Senior Analytics Engineer (Supply Chain)
Builds
Data models, semantic layers, and analytics products for Planning, Operations, Logistics, Manufacturing, and Fulfillment
Domain
Supply Chain / Operations
Deliverable
production ML models
Required skills
SQL, Snowflake, BigQuery, SingleStore, dbt, Git, CI/CD, data modeling (dimensional/star schema), Python, workflow orchestration (Airflow)
Preferred skills
Tableau, GenAI-readiness (NL-to-SQL, RAG), NPI processes, advanced analytics/ML
Responsibilities
Design and build large-scale analytical data models and semantic layers; Partner with business teams to translate needs into analytics solutions; Own the semantic and metric layer for supply chain KPIs; Drive AI-readiness of supply chain data; Lead end-to-end delivery of analytics projects; Collaborate on platform capabilities and data governance