Analytics Engineer, Supply Chain Insights

Location: Sunnyvale, CA or Remote

Contract length: 12 months

Introduction:

The Analytics Engineer, Supply Chain Insights role involves owning and evolving the data foundations that drive supply chain visibility and operational excellence. The individual will design and build scalable data pipelines, develop analytical models, and deliver trusted datasets and insights that inform critical business decisions. This position requires blending analytics engineering with data science to maximize business impact.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines (SQL, Python); Own critical data models spanning demand forecasting, inventory management, logistics operations, supplier performance, and fulfillment metrics
• Build and maintain AI-powered dashboards and reporting tools that provide real-time and historical visibility into supply chain KPIs
• Develop analytical frameworks that quantify supply chain performance
• Conduct deep-dive analyses and root cause investigations to diagnose supply chain disruptions
• Design and execute statistical analyses to uncover trends and inform strategic supply chain decisions
• Build predictive models and forecasting solutions
• Develop scenario modeling and simulation frameworks
• Synthesize complex analytical findings into clear narratives and executive-ready recommendations

Requirements:

• 8+ years of experience in analytics engineering, data engineering, data science, or a related technical role
• Strong proficiency in SQL (Presto/Hive or equivalent) and Python (including pandas, NumPy, or similar data libraries)
• Experience building and maintaining data pipelines and ETL workflows at scale
• Experience with data modeling and data warehouse design
• Familiarity with statistical methods and their practical application to business problems
• Demonstrated ability to work independently on medium-to-large projects with minimal guidance
• Strong communication skills with experience partnering across technical and business teams

Preferred Skills:

• Experience in supply chain, operations, logistics, or manufacturing domains
• Experience building predictive models or forecasting systems
• Proficiency with machine learning frameworks for applied analytics use cases
• Experience with dashboarding and data visualization tools
• Comfort working with AI-assisted development tools to accelerate engineering work

About the Team:

The Supply Chain Data Insights team at Meta''s Supply Chain Operations organization powers data-driven decision-making across the end-to-end supply chain. They build the data infrastructure, analytical frameworks, and insights that enable supply chain leaders to optimize operations, reduce costs, and improve delivery performance across Meta''s hardware product portfolio.

Why This Role Matters:

Supply chain performance directly impacts Meta''s ability to deliver hardware products to customers on time and at the right cost. The data infrastructure and insights built by the Analytics Engineer will influence decisions across planning and sourcing strategy, manufacturing execution, and fulfillment - touching billions of dollars in spend and millions of units shipped annually. This role has a direct line to business outcomes.