À propos de ce poste Analytics Engineer, Sentry chez Anduril Industries

Anduril Industries · Sur site · Irvine, California, United States

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.

ABOUT THE TEAM

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. Sentry Analytics is the technical build arm behind the Sentry business. We design and operate the data infrastructure, pipelines, dashboards, and analytical tooling that the product organization runs on. 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.

ABOUT THE JOB

As an Analytics Engineer on Sentry Analytics, you will own the data and analytics footprint for our Manufacturing and Supply Chain functions: the two domains that determine whether we can build Sentry at the rate the mission demands. You will be embedded with the Head of Production for Sentry and their leaders across production planning, purchasing, inventory, quality, and supplier management, translating their hardest operational questions into durable data products.

This is a hands-on, builder-operator role for a highly technical and strategic individual who thrives on untangling complex, ambiguous problems in a physical, fast-moving production environment. You will design, implement, and maintain the data systems that give Manufacturing and Supply Chain leaders real-time visibility into what we are building, what we need, and where we are constrained. This role requires a strong data engineering foundation, an analytical mindset, and the ability to sit next to operators on the floor and in planning meetings to figure out what actually needs to be built.

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.
Enable smarter supply and production planning. Use data to sharpen safety stock, lead time, purchasing, and capacity models, and to give leadership a defensible view of what Sentry production can commit to.
Iterate based on feedback and evolving requirements. Continuously improve data products by incorporating stakeholder feedback and adapting to changing operational needs as Sentry manufacturing scales.
Document and champion data quality. Ensure data definitions, business logic, and methodologies are well-documented and understood across Manufacturing and Supply Chain teams, promoting data literacy and self-service.

REQUIRED QUALIFICATIONS

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
You thrive on untangling complex, messy problems and are energized by creating order from chaos in a rapidly evolving operational environment
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

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

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to [email protected].
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to [email protected]. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

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To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

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