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Anduril Industries is a defense technology company building advanced military systems powered by Lattice OS, an AI-powered operating system for command and control. The Sentry platform integrates robotics, autonomy, hardware, and software to deliver mission-critical capabilities in defense and security.
You will join Sentry Analytics as an Analytics Engineer, owning the data and analytics footprint for Manufacturing and Supply Chain functions. This is a hands-on, builder-operator role embedded with the Head of Production for Sentry and leaders across production planning, purchasing, inventory, quality, and supplier management. You will translate operational questions into durable data products that give manufacturing and supply chain leaders real-time visibility into production status, constraints, and capacity.
Key responsibilities include:
- Own the Manufacturing & Supply Chain analytics footprint end-to-end, serving as technical lead for data products supporting production planning, purchasing, inventory, capacity, quality, and supplier management
- Build and maintain data pipelines and analytical systems that ingest, transform, and model data from ERP, MRP, MES, PLM, inventory, and quality systems
- Develop dashboards and analytics ranging from ad hoc analyses to scalable trackers for build status, PO health, inventory position, supplier performance, yield, and capacity utilization
- Act as architect, designer, and builder for analytics tools—defining requirements, designing user experiences, building solutions, and iterating based on feedback from planners, buyers, engineers, and floor operators
- Bridge technical and operational needs by partnering with Demand & Supply Planning, Manufacturing Engineering, Manufacturing Operations, Quality Engineering, and Supply Chain
- Perform quantitative analyses (inventory reconciliation, variance investigation, trend analysis, root-cause analysis, demand/supply gap analysis) to identify bottlenecks and unlock throughput
- Use data to sharpen safety stock, lead time, purchasing, and capacity models
- Document and champion data quality across Manufacturing and Supply Chain teams
This role requires a strong data engineering foundation, analytical mindset, and ability to work directly with operators on the floor and in planning meetings to understand what needs to be built.
REQUIREMENTS:
- Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, or related technical field
- 2+ years of experience in analytics, operations engineering, data engineering, or software engineering roles
- Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Tableau, Looker, Power BI, Streamlit, or similar
- Proficient in at least one additional programming language such as Python, SQL, R, TypeScript, or similar for analysis, data visualization, and automation
- Ability to untangle complex, messy problems and create order from chaos in rapidly evolving operational environments
- Track record of partnering directly with senior operational leaders and cross-functional teams (planners, buyers, engineers, quality, floor operators), translating business problems into technical solutions for non-technical stakeholders
- Must be authorized to work in the United States
PREFERRED QUALIFICATIONS:
- Ability to build full-stack solutions, including frontend development with React or similar frameworks
- 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 MRP logic, safety stock modeling, lead time analysis, or supplier performance
- Background in hardware product lifecycle operations, manufacturing environments, or complex hardware/software systems
- Experience 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
