Manufacturing Data Analyst: Drive Lean & KPIs

Anduril-1; Costa Mesa (CA); On-site; USD 129,000 - 171,000; Full time

Job summary

Anduril Industries is seeking a Data Analyst for the Digital Manufacturing team in Costa Mesa, CA. You will influence day‑to‑day decisions across product lines, applying strong analytical skills to drive outcomes in manufacturing operations.

You will lead data‑driven initiatives, collaborate with cross‑functional teams, and codify best practices for efficiency, cost control, and quality. A strong background in analytics and lean methods is essential.

Qualifications

• Degree and experience aligned with manufacturing strategy and analytics.
• Proven ability to deliver insights using data visualization and analytics tools.
• Experience in manufacturing strategy or analysis with tangible impact.

Responsibilities

• Collaborate with manufacturing leadership to develop strategies to boost productivity and quality.
• Analyze production metrics, process flow, and resource use to identify improvement areas.
• Coordinate cross‑functional teams to align manufacturing strategies with business goals.
• Monitor industry trends to keep processes at the cutting edge.
• Document manufacturing processes and continuous improvement initiatives.
• Lead kaizen, lean manufacturing, or Six Sigma initiatives to optimize production.
• Contribute to capacity planning and workforce management for scalability.
• Implement and refine manufacturing KPIs to drive accountability and performance.
• Support new product development from a manufacturing perspective.

Skills

Python

Typescript

SQL

Tableau

PowerBI

PLTR Foundry

MS VBA

Education

Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field

Master’s degree preferred (MBA or MS of Engineering)

Job description

Anduril Industries is seeking a Data Analyst for the Digital Manufacturing team in Costa Mesa, CA. You will influence day‑to‑day decisions across product lines, applying strong analytical skills to drive outcomes in manufacturing operations.

You will lead data‑driven initiatives, collaborate with cross‑functional teams, and codify best practices for efficiency, cost control, and quality. A strong background in analytics and lean methods is essential.