Analytics Engineer, Sentry

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI‑powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

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. With a rapidly growing fleet and new product variants in development, we partner across engineering, manufacturing, supply chain, operations, business development, and more to deliver cutting‑edge systems at scale.

As the Analytics Engineer for Sentry, you will be at the forefront of transforming raw data into strategic advantages for our business line. This is a hands‑on, builder‑operator role for a highly technical and strategic individual who thrives on untangling complex, ambiguous problems. You will design, implement, and maintain robust data systems, enabling our teams to make more informed decisions. This role requires a deep understanding of data engineering principles, a strong analytical mindset, and the ability to effectively bridge the gap between technical capabilities and business needs.

You will be instrumental in developing data products and tooling that directly impact our operational efficiency, product development, and overall business strategy.

• Build and maintain data pipelines and analytical systems: Design data workflows that ingest, transform, and model data from diverse sources (deployment systems, inventory databases, monitoring tools, business systems), ensuring data quality and accessibility
• Develop dashboards and analytics that shape decision‑making: Create data products ranging from ad‑hoc analyses for rapid iteration to scalable dashboards and trackers that provide visibility into deployment tracking, inventory status, component lifecycle, fleet performance, and system reliability
• Own the full product lifecycle: Act as PM, designer, and builder for analytics tools—defining requirements, designing user experiences, building technical solutions, and iterating based on user feedback
• Collaborate to bridge technical and operational needs: Partner closely with cross‑functional teams to understand their data challenges and translate them into effective data solutions, working within systems like ERP, MRP, and other operational platforms
• Drive operational efficiency through data analysis: Perform quantitative analyses including deployment data validation, inventory reconciliation, trend analysis, variance investigation, and root‑cause analysis to identify bottlenecks and optimize processes
• Enhance Sentry fleet management and sustainment: Utilize data to understand fleet performance in the field, optimize deployment strategies, and improve the efficiency of sustainment operations for the growing Sentry fleet
• Iterate based on feedback and evolving requirements: Continuously improve data products by incorporating stakeholder feedback and adapting to changing operational needs as Sentry scales
• Document and champion data quality: Ensure data definitions, business logic, and methodologies are well‑documented and understood across teams, promoting data literacy and self‑service capabilities

• 1–3 years of professional experience in an analytics‑focused role (Analytics Engineer, Data Engineer, Data Analyst, or similar)
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math, Operations Research, Computer Science) or equivalent practical…