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Apple

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

Apple Hyderabad, Telangana, India

Computers and Electronics Manufacturing · 10,001+ employees

7 h ago
data-analyst Principal (10+ yrs) Full-time India
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About the role

You will design and build data models, semantic layers, and analytics products to optimize supply chain operations. This role involves partnering with business leaders to transform how the organization utilizes data, analytics, and AI for decision-making.

What they look for

SQL Supply Chain Management Data Modeling Tableau Python Snowflake BigQuery SingleStore Dbt Git CI/CD Airflow Machine Learning GenAI Data Analytics Operations Research

Requirements

Candidates must have 8-12 years of experience in supply chain data and operations with expert SQL skills and cloud data warehouse proficiency. A bachelor's degree in a relevant technical or engineering field is required, with a master's degree preferred.

Full description

Imagine what you could do here. At Apple, great ideas have a way of becoming great 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 strong 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. Strong 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. Understanding of GenAI-readiness — how semantic models enable NL-to-SQL, RAG, and conversational analytics.

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