# Data Analyst, Manufacturing

**Company**: Anduril Industries
**Location**: Santa Ana, California
**Experience**: senior
**Job type**: full-time
**Salary**: $112,000-$149,000 USD
**Category**: Manufacturing
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5198002007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8138b696-084

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

As a Data Analyst for the Manufacturing team at Anduril, you will be a key player in advancing the efficiency and effectiveness of Anduril's production operations.

## Responsibilities

- Use manufacturing/production and operational data to develop insights and solutions that optimize workflows, enhance productivity, and improve product quality in the manufacturing process.

- Create advanced dashboards and analytics tools using visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., SQL, Python) to measure and communicate performance metrics, identify trends, and drive improvements.

- Collaborate with cross-functional teams to align analytics solutions with production objectives and broader business goals.

- Act as a primary liaison between manufacturing operations and other business units, including IT and engineering teams.

- Contribute to the integration, improvement, and optimization of manufacturing systems, including MES, ERP, and WMS.

- Support the creation of seamless data workflows between systems to drive reliability and efficiency.

- Lead and facilitate Lean Manufacturing, Six Sigma, Kaizen, or other initiatives to drive production teams toward best-in-class operational standards.

- Monitor equipment performance, identify downtime patterns, and work on predictive maintenance strategies to prevent disruptions.

- Conduct in-depth analysis of resource utilization, production outputs, and process flows to diagnose performance issues and recommend solutions.

- Develop, track, and refine manufacturing KPIs to measure performance, highlight inefficiencies, and ensure accountability across production operations.

- Document production processes, analytics workflows, and best practices to provide a foundation for training and ongoing operational improvements.

- Stay updated on emerging technologies and industry trends in manufacturing analytics, digital transformation, and advanced automation to identify innovations Al and advanced data applications.

## Required Qualifications

- Bachelor's degree in Data Science, Manufacturing/Industrial Engineering, Computer Science, Software Engineering, Operations Management, or a related field. A Master's degree is preferred (e.g., MBA, MS in Engineering, or Data Science).

- Minimum of 5 years of experience in a manufacturing, business intelligence, or data analytics role with a focus on production data.

- Proven ability to develop actionable insights that drive observable efficiency, productivity, and quality improvements.

- Advanced skills in data visualization and analytics tools, including Tableau, Power BI, Python, SQL, or similar platforms for reporting and dashboard creation.

- Solid understanding of manufacturing systems (MES, ERP, WMS) and data integration with operational workflows.

- Proficiency in data modeling, pattern identification, and advanced statistical analysis of production performance metrics.

- Experience working with manufacturing/production teams to understand on-the-ground challenges and develop scalable solutions to address them.

- Exceptional communication and stakeholder management skills for conveying complex data in actionable, meaningful ways.

- Highly organized and capable of independently prioritizing tasks to meet deadlines in a fast-paced environment.

- Ability to lead cross-functional initiatives toward continuous improvement and data-driven transformation.

- Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

## Preferred Qualifications

- Hands-on experience implementing and scaling data insights for predictive maintenance or process control using AI, machine learning models, or digital twin systems.

- Familiarity with predictive analytics platforms, tools, and strategies that enhance production performance.

- Demonstrated knowledge of industrial controls, SCADA, MES, and related protocols like ISA-95 or OPC UA.

- Advanced data and business intelligence certifications such as Power BI Expert, Tableau Professional, Six Sigma Black Belt, or similar credentials.

- Successful track record of applying Lean, Six Sigma, or other process optimization methodologies within manufacturing environments.

- Experience working in defense, aerospace, or similarly regulated manufacturing environments with strict quality and security standards.

## Skills

### Required
- data analytics
- data visualization
- manufacturing systems
- operational workflows
- SQL
- Python
- Tableau
- Power BI

### Nice to have
- predictive maintenance
- AI
- machine learning
- digital twin systems
- industrial controls
- SCADA
- MES
- ISA-95
- OPC UA

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5198002007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)