Analytics Lead, Manufacturing Quality

Anduril Industries

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Ashville, OH
Salary
$165,000–$218,000 / yr
Posted
40 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $192k
$128k most similar roles pay here $228k

This role pays more than 70% of similar roles. Most pay $146,500–$198,950 — the shaded band above. At the midpoint, this role pays about $192k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1697 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1504 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Analytics Lead, Manufacturing Quality

Analytics Lead, Manufacturing Quality serves as the resident analytics engineer for the Quality Intelligence team at the Arsenal-1 manufacturing site. This role operates at the intersection of hardware manufacturing and data analytics, where you will build pipelines and dashboards to monitor production quality. You will be responsible for transforming ERP, MES, and QMS data into actionable insights while managing the local project backlog and driving tool adoption among floor operators. The core responsibilities include performing root-cause analysis on complex data issues, implementing automated monitoring, and developing AI-assisted tools to streamline manual tasks. To succeed, you must possess proficiency in SQL, Python, Palantir Foundry, and Databricks. You will solve critical manufacturing challenges by ensuring data integrity across high-volume production lines, ultimately establishing the standard for quality metrics across future facilities.

What you'll do

  • Build and maintain data pipelines and ontologies in Palantir Foundry and Databricks using SQL and Python.
  • Develop production dashboards and quality metrics tools for manufacturing engineers and floor operators.
  • Investigate and resolve complex data quality issues by performing root-cause analysis across the technical stack.
  • Manage the site's analytics backlog by gathering requirements from stakeholders and prioritizing development tasks.
  • Create AI-assisted tools to automate repetitive manual triage and data processing workflows.
  • Implement automated monitoring, validation rules, and robust checks to ensure data integrity.
  • Drive user adoption of analytics products through training, office hours, and usage tracking.
  • Collaborate with headquarters to port proven analytics models to the new manufacturing facility.

What we're looking for

  • Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited program.
  • 4+ years of experience as a Data Engineer, Analytics Engineer, or similar role.
  • At least 2 years of applied data engineering experience in a manufacturing or hardware product environment.
  • Proficiency in SQL for large, multi-source datasets and Python for data transformation and scripting using Pandas or PySpark.
  • Experience with Palantir Foundry, Databricks, or an equivalent cloud lake house to build pipelines and dashboards.
  • Demonstrated ability to perform root-cause analysis on complex data issues and ensure data quality.
  • Ability to use AI tools (e.g., Cursor, Claude Code, Copilot) critically to accelerate development and automate workflows.
  • Must be eligible to obtain and maintain a U.S. Government security clearance and comply with ITAR regulations.

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