Analytics Engineer

DataJobs; Irvine (CA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Comprehensive benefits package

Equity grants

Job summary

Anduril Industries seeks a data analytics lead embedded with Sentry Manufacturing and Supply Chain to own the analytics footprint from data pipelines to dashboards.

You will partner with the Head of Production and cross-functional teams to translate operational questions into durable data products and actionable insights for build status, inventory, supplier performance, yield, and capacity utilization.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 2+ years of analytics, operations engineering, data engineering, or software engineering experience.
• Experience building business-facing dashboards and visualizations with Palantir Foundry, Tableau, Looker, Power BI, or Streamlit.
• Proficient in Python, SQL, R, TypeScript, or similar for analysis and automation.
• Ability to translate complex data problems for non-technical stakeholders.

Responsibilities

• Own the Manufacturing and Supply Chain analytics footprint end-to-end.
• Lead data products supporting production planning, purchasing, inventory, capacity, quality, and supplier management.
• Collaborate with Head of Production to shape analytics roadmap.
• Build and maintain data pipelines and analytical systems.
• Design workflows ingesting data from ERP, MRP, MES, PLM, inventory, and quality systems.
• Develop dashboards and analytics for production decisions.
• Create data products from ad hoc analysis to scalable dashboards and trackers.
• Own product lifecycle of analytics tools as architect, designer, builder.
• Bridge technical and operational needs with practical data solutions.
• Work with cross-functional teams to deliver outcomes in operational systems.
• Drive inventory reconciliation, variance analysis, and demand/supply gap analysis.

Skills

Analytics

Data engineering

Dashboards

Python

SQL

R

TypeScript

React

Education

Bachelor's degree in Analytics, Data Science, CS, Industrial Engineering

Tools

Palantir Foundry

Tableau

Looker

Power BI

Streamlit

Python

SQL

R

TypeScript

ERP

MRP

MES

PLM

Job description

Anduril Industries is building the future of situational awareness through its Sentry platform, which integrates robotics, autonomy, hardware, and software for mission-critical capabilities in defense and security, with an expanding footprint in commercial markets. In Sentry Analytics, you will help power that mission by designing and operating the data infrastructure, pipelines, dashboards, and analytical tools that support Manufacturing and Supply Chain decisions.

What you can expect

This is a hands-on, builder-operator role where you own the data and analytics footprint for Sentry Manufacturing and Supply Chain. You will be embedded with the Head of Production and partner with leaders across production planning, purchasing, inventory, quality, and supplier management to turn operational questions into durable data products. The environment is fast-moving and physical, so you will also work directly with planners, buyers, engineers, and floor operators to ensure the right tooling gets built.

Responsibilities

• Own the Manufacturing and 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.
• Develop dashboards and analytics that shape production decisions.
• Create data products that range from ad hoc analysis for rapid iteration to scalable dashboards and trackers for build status, PO health, inventory position, supplier performance, yield, and capacity utilization.
• Own the full product lifecycle, acting as architect, designer, and builder for analytics tools.
• Bridge technical and operational needs by translating data challenges into effective solutions.
• Collaborate with Demand and Supply Planning, Manufacturing Engineering, Manufacturing Operations, Quality Engineering, and Supply Chain to understand requirements and deliver outcomes inside operational systems.
• Drive operational efficiency through data analysis, including inventory reconciliation, variance investigation, trend analysis, root-cause analysis, and demand or supply gap analysis.
• Enable smarter supply and production planning by improving safety stock, lead time, purchasing, and capacity models and providing leadership with a defensible view of what Sentry production can commit to.
• Continuously improve data products using stakeholder feedback as Sentry manufacturing scales.
• Document and champion data quality by ensuring data definitions, business logic, and methodologies are well-documented and understood across teams to promote data literacy and self-service.

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.
• Enjoys untangling complex, messy problems and creating order in a rapidly evolving operational environment.
• Track record partnering directly with senior operational leaders and cross-functional teams (planners, buyers, engineers, quality, floor operators) to translate business problems into technical solutions for non-technical stakeholders.
• Must be authorized to work in the United States.

Technologies you may use

• Palantir Foundry, Tableau, Looker, Power BI, Streamlit
• Python, SQL, R, TypeScript, React
• ERP, MRP, MES, PLM

Benefits

• Comprehensive, competitive benefits package (available at little to no cost to employees) supporting health, recovery, and what comes next.
• Highly competitive equity grants included in the majority of full-time offers, considered part of Anduril’s total compensation package.

About the team and the work

Sentry Analytics is the technical build arm behind the Sentry business. The team designs and operates 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, teams partner across engineering, manufacturing, supply chain, operations, business development, and more to deliver systems at scale.

Additional notes

• Location: Irvine, CA (onsite).
• Preferred qualifications include building full-stack solutions with frontend development (React or similar), familiarity with ETL/data pipeline concepts, experience working within ERP/MRP/MES/PLM or inventory management systems, background in supply chain or manufacturing operations, and experience in fast-paced environments without a playbook.