Logistics Analyst

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.

The Mission Readiness team keeps Anduril systems ready to fight. We build the sustainment backbone behind
fielded products — the technical data, provisioning, training, support equipment, and field support concepts
that determine whether a system stays mission capable once it leaves our factory. Working across engineering,
manufacturing, supply chain, test, and program management, the Mission Readiness team turns development
hardware into products the force can actually operate, maintain, and sustain.

We are looking for a Logistics Analyst to build the supply support, support equipment, and packaging data for
our air and missile defense products being developed for our service customer. Reporting to the Logistics
Program Manager, you will produce the logistics product data across three Integrated Product Support elements — Supply Support, Support Equipment, and Packaging, Handling, Storage & Transportation (PHS&T) — building
the provisioning data, support equipment data, and ammunition lifecycle documentation that allow this missile
to be fielded. You will start from an empty database at contract award and build toward a production-ready
logistics baseline over the development effort.
This is a data and analysis role. You will spend your time in the government’s logistics modeling and Logistics Product Data tools, working closely with design engineering to pull the data you need, with Product Support Engineering to consume their reliability and maintenance analyses, and with test to prove the baseline holds up against real hardware. You are the person who turns engineering outputs into the datasets and deliverables the customer will use to procure and support the system.

This role is in-person at one of our office locations and requires periodic domestic travel (up to 25%) to test sites, government facilities, and supplier locations.

This role produces the logistics product data and deliverables across three IPS elements:
Supply Support,
Support Equipment, and PHS&T. The Logistics Program Manager retains element accountability and the
customer relationship.

• Build the logistics data baseline. Develop and maintain the Logistics Management Information / Logistics Product Data database per GEIA-STD-0007 — provisioning data, parts cataloging, sparing recommendations, and packaging data. This is the dataset the Army will eventually use to procure and support the system, and you are the analyst building it.
• Catalog the hardware. Establish and maintain National Stock Number, CAGE code, and part number structures; build and maintain provisioning parts lists and the supporting technical documentation.
• Compute the sparing position. Produce initial outfitting and sustainment spares computations, forward-positioned stock quantities, reorder points, and demand forecasts against reliability data and actual field consumption. Bring the recommendation and the assumptions behind it to the Logistics Program Manager, who sets the approved levels and reorder policy.
• Turn failure data into provisioning updates. Work failure reporting and corrective action outputs into provisioning and sparing data. Flag high-failure components, recommend corrective logistics actions, and keep the provisioning baseline current as the design and test results evolve.

• Build the support equipment data. Develop the support equipment recommendation data and the special…