# Supplier Quality Data Analytics Engineer

**Company**: Anduril Industries
**Location**: Costa Mesa, California
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $146,000-$194,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5244483007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1f63ce42-4a2

## Description

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

The Supplier Quality Engineering team is responsible for ensuring that externally sourced components and assemblies meet Anduril's rigorous quality standards.

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.

**Responsibilities**

- 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

## Skills

### Required
- SQL
- Data Visualization
- Palantir Foundry
- Python
- Microsoft Excel
- VBA

### Nice to have
- Supplier Quality Concepts
- Quality Management Systems
- ERP/MRP Systems
- Git/GitHub
- APIs
- Statistical Methods

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5244483007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)