Supplier Quality Data Analytics Engineer

Speedrun Talent Network; Costa Mesa (CA); On-site; USD 146,000 - 194,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Anduril Industries is seeking a Supplier Quality Data Analytics Engineer to embed within the Supplier Quality Engineering organization. You will build and maintain data infrastructure, dashboards, and workflows that deliver real-time visibility into supplier performance and non-conformance trends.

Using Palantir Foundry as the central platform, you will write back to systems of record, conduct ad-hoc analysis, and develop automated processes that improve supplier quality outcomes.

Qualifications

• Bachelor's degree in analytics, data science, CS, or related field.
• 2+ years of analytics, data engineering, quality/operations engineering roles in hardware/manufacturing.
• Expertise in SQL across multiple data sources.
• Experience with Tableau/Looker/Power BI or Palantir Foundry.
• Strong Excel skills with advanced formulas, live connections, and VBA.
• Proficiency in Python or R for analysis and automation.
• Willingness to relocate to Costa Mesa, CA.
• Travel up to 10%.

Responsibilities

• Transform raw ERP and QMS data into structured datasets for supplier quality metrics.
• Create dashboards and automated workflows in Palantir Foundry for supplier quality reporting.
• Build supplier scorecards combining quality, delivery, and responsiveness data.
• Define KPIs like PPM, SCAR closure rate, and first-pass yield; track over time.
• Develop automated alerting and escalation workflows for non-conformance trends.
• Automate manual data compilation, SCAR tracking, and reporting tasks.
• Lead cross-functional projects with clear timelines and stakeholders.
• Incorporate external data sources for risk management insights.
• Provide training and documentation to engineers on analytics tools.
• Embed AI in Palantir Foundry workflows to identify patterns and predict risk.

Skills

SQL

Data Visualization

Python

Excel

Git/GitHub

Communication

Education

Bachelor's degree in Analytics Data Science CS or related

Tools

Palantir Foundry

Tableau

Power BI

Looker

Dash/Streamlit

Job description

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

The Supplier Quality Engineering team is responsible for ensuring that externally sourced components and assemblies meet Anduril's rigorous quality standards. The team works closely with suppliers, production, and engineering to drive corrective actions, monitor supplier performance, and continuously improve incoming material quality across Anduril's product portfolio. As the organization scales rapidly, data-driven decision making is critical to identifying trends, prioritizing supplier interventions, and measuring the effectiveness of quality programs.

ABOUT THE JOB

As a Supplier Quality Data Analytics Engineer, you will be embedded within the Supplier Quality Engineering organization and serve as the team's dedicated analytics partner. You will build and maintain the data infrastructure, dashboards, and automated workflows that give supplier quality engineers real-time visibility into supplier performance, non-conformance trends, corrective action effectiveness, and incoming inspection results. Using Palantir's Foundry platform as your central resource, you will conduct ad-hoc analysis, produce interactive dashboards, and develop automated workflows that write back to our systems of record. You will gain a deep understanding of supplier quality processes — from incoming inspection and SCAR management to supplier audits and approved supplier list governance — and craft tools that drive measurable improvements in supplier quality outcomes.

WHAT YOU'LL DO

• Use SQL to transform raw ERP and QMS data extractions into structured datasets within a centralized GitHub repository, with a focus on supplier quality metrics (PPM, DPMO, SCAR cycle time, lot acceptance rates)
• Use Palantir's Foundry platform to generate dashboards and automated workflows code repositories for supplier quality reporting
• Build and maintain supplier scorecards that aggregate quality, delivery, and responsiveness data to support supplier review boards and business decisions
• Work with Supplier Quality Engineers and managers to define key performance metrics (e.g., supplier PPM, SCAR closure rate, first pass yield) and implement systems for tracking over time
• Develop automated alerting and escalation workflows for non-conformance trends, repeat defects, and at‑risk suppliers
• Eliminate repetitious processes — such as manual inspection data compilation, SCAR status tracking, and supplier report generation — with programmatic automation
• Manage cross-functional projects with clear and concise communication on timelines, partnering with supply chain analytics, production quality, and engineering teams
• Assess and incorporate external data sources that could bring valuable insight to supplier quality risk management
• Educate supplier quality engineers with training and documentation on analytics tools, and drive user adoption through a continual feedback loop
• Embed AI into workflows via Palantir's Foundry platform to help identify patterns in non-conformance data, predict supplier risk, and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, Quality Engineering, or related technical field
• 2+ years of experience in analytics, data engineering, quality engineering, or operations engineering roles, preferably in complex hardware technology or manufacturing industries
• Expertise in SQL with demonstrated ability to write complex queries across multiple data sources
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript, or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Experience with supplier quality concepts such as incoming inspection, SCAR/CAPA management, supplier audits, approved supplier list (ASL) governance, and statistical process control (SPC)
• Familiarity with quality management systems (QMS) and standards such as AS9100, ISO 9001, or IATF 16949
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and QMS platforms, with ability to extract and analyze data from these systems
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Understanding of statistical methods for quality analysis (Pareto, control charts, capability studies, hypothesis testing)
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

US Salary Range

$146,000 — $194,000 USD

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.