Real-Time Supplier Quality Analytics Engineer

Anduril-1; Costa Mesa (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Anduril Industries is seeking a Supplier Quality Data Analytics Engineer to serve as the analytics partner within the Supplier Quality Engineering organization. You will build data infra, dashboards, and automated workflows to give real-time visibility into supplier performance and non-conformance trends.

Work with SQEs and managers to define KPIs, implement tracking, and drive measurable improvements in supplier quality.

Qualifications

• Bachelor's degree in a technical field such as analytics or data science.
• 2+ years of analytics, data engineering, quality, or operations engineering experience.
• Expertise in writing complex SQL across multiple data sources.
• Experience with data visualization tools (Tableau, Looker, Power BI, etc.).
• Proficiency with Microsoft Excel including advanced formulas and VBA.
• Proficient in at least one programming language (Python, R, Typescript).

Responsibilities

• Build and maintain data infrastructure, dashboards, and automated workflows.
• Create supplier quality dashboards and scorecards for leadership.
• Define KPIs and track performance over time.
• Develop automated alerts for non-conformance trends and supplier risk.
• Automate manual data processes to improve efficiency.
• Collaborate with SQE, supply chain, and engineering teams.
• Explore external data sources for risk management insights.
• Educate engineers on analytics tools and drive adoption.
• Embed AI into workflows to identify patterns and predict risk.

Skills

Bachelor's degree in Analytics, Data

2+ years analytics experience

SQL expertise

Data visualization platforms

Excel advanced

Programming for analysis

Education

Bachelor's degree

Tools

Palantir Foundry

Tableau

Looker

Power BI

Streamlit

Dash

Job description

Anduril Industries is seeking a Supplier Quality Data Analytics Engineer to serve as the analytics partner within the Supplier Quality Engineering organization. You will build data infra, dashboards, and automated workflows to give real-time visibility into supplier performance and non-conformance trends.

Work with SQEs and managers to define KPIs, implement tracking, and drive measurable improvements in supplier quality.