Analytics Engineer, SentryPosted today

Anduril Industries
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The opportunity

We are building the future of situational awareness. Our Sentry platform integrates robotics, autonomy, hardware, and software to deliver mission-critical capabilities in defense and security, with an expanding footprint into commercial markets.

What you'll do

  • Own the Manufacturing & Supply Chain analytics footprint end-to-end. Serve as: the technical lead for data products supporting production planning, purchasing, inventory, capacity, quality, and supplier management. Partner directly with the Head of Production for Sentry to shape the analytics roadmap for these functions.

  • Build and maintain data pipelines and analytical systems. Design data: workflows that ingest, transform, and model data from ERP, MRP, MES, PLM, inventory, and quality systems, ensuring data quality, freshness, and accessibility for the teams that depend on them.

  • Develop dashboards and analytics that shape production decisions. Create data: products ranging from ad hoc analyses for rapid iteration to scalable dashboards and trackers that give leaders visibility into build status, PO health, inventory position, supplier performance, yield, and capacity utilization.

  • Own the full product lifecycle. Act as an architect, designer, and builder: for your analytics tools → defining requirements, designing user experiences, building technical solutions, and iterating based on user feedback from planners, buyers, engineers, and floor operators.

  • Bridge technical and operational needs. Partner closely with Demand & Supply: Planning, Manufacturing Engineering, Manufacturing Operations, Quality Engineering, and Supply Chain to understand their data challenges and translate them into effective solutions inside our operational systems.

  • Drive operational efficiency through data analysis. Perform quantitative: analyses (inventory reconciliation, variance investigation, trend analysis, root-cause analysis, and demand/supply gap analysis) to identify bottlenecks and unlock throughput.

What they're looking for

  • You can build full-stack solutions, including frontend development with React: or similar frameworks when needed
  • Familiarity with data pipeline concepts, ETL processes, or data engineering principles
  • Direct experience working within ERP, MRP, MES, PLM, or inventory management: systems, or building analytics on top of them
  • Background in supply chain or manufacturing operations (production planning,: purchasing, inventory, quality) with familiarity in concepts like MRP logic, safety stock modeling, lead time analysis, or supplier performance
  • Background in hardware product lifecycle operations, manufacturing: environments, or complex hardware/software systems
  • Background working in fast-paced environments without a playbook,: particularly in hyper-growth or startup settings
  • Experience in defense, aerospace, robotics, autonomy, or mission-critical technology environments