Analytics Engineer — Supply Chain (Business Process Re-engineering)

About the role

Imagine what you could do here. Bring passion and dedication to your job and there's no telling what you could accomplish. You'll design and build the data models, semantic layers, and analytics products that power decisions across Planning, Operations, Logistics, Manufacturing, and Fulfillment. This is a highly visible role — partnering with business leaders and technology teams to shape Apple's supply chain data and analytics landscape.

What you'll do

• Partner with Supply Chain, Operations, Finance, and Logistics teams to translate business needs into analytics solutions that drive measurable outcomes
• Own the semantic and metric layer that becomes the single source of truth for supply chain KPIs — demand attainment, service level, inventory position, lead time
• Drive AI-readiness of supply chain data — high-quality, governed, discoverable datasets that power dashboards, ML models, and GenAI applications
• Lead end-to-end delivery — from requirements and design to production, across multiple concurrent projects
• Collaborate with technology teams on platform capabilities, tooling, data governance, and master data

What you need

• 8–12 yrs of experience
• Supply chain
• Analytics
• Machine learning
• SQL
• LLMs
• Snowflake
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Statistics
• Python
• Data modelling
• dbt
• Airflow
• CI/CD