Imagine what you could do here. At Apple, great ideas have a way of becoming
excellent products, services, and customer experiences very quickly. Bring passion
and dedication to your job and there's no telling what you could accomplish.
DESCRIPTION
Our BPR team is looking for an Analytics Engineer who combines deep supply chain
functional expertise with solid technical depth to help transform how Apple's
Worldwide Operations organization uses data, analytics, and AI to run and
improve the supply chain. 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.
MINIMUM QUALIFICATIONS
8–12 years working with supply chain / operations data — Planning, Forecasting,
Order Management, Inventory, Logistics, or Manufacturing. Deep understanding of
end-to-end supply chain processes (S&OP;, demand/supply planning, inventory
management, transportation) and their core metrics. Expert SQL and hands-on
experience with modern cloud data warehouses — Snowflake, BigQuery, or
SingleStore Bachelor's in Computer Science, Industrial Engineering, Operations
Research, Supply Chain Management, Statistics, or a related field. Master's
preferred. Advanced analytics, ML, or GenAI knowledge is a strong plus.
PREFERRED QUALIFICATIONS
Exposure to NPI processes and how supply chain flows change through launches and
transitions. Solid analytics engineering skills — dbt (or equivalent), Git,
CI/CD for analytics, testing frameworks. Strong data modeling — dimensional /
star schema, semantic layer design. Advanced Tableau (visualization skills) —
dashboard design, performance tuning, publishing. Python for data manipulation,
automation, and lightweight app building. Workflow orchestration (Airflow or
equivalent) and data quality frameworks.
📌 Analytics Engineer — Supply Chain Hyderabad (India)
🏢 Apple
📍 India