below marketmost similar roles pay hereabove market
This role pays more than
60%
of similar roles. Most pay
$126,750–$201,625
— the blue band above.
At the midpoint, this role pays about
$167k
versus about
$164k
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
901 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 858 roles with salary data.
The Senior Data Analyst, Quality joins the Quality Intelligence team to support manufacturing quality at the Arsenal-1 hyperscale facility. As the site applications lead, you will operate at the intersection of hardware manufacturing and data analytics, serving as the resident analytics engineer. You will build and operate production dashboards, pipelines, and quality metrics by pulling data from ERP, MES, QMS, and inventory systems. Key responsibilities include performing root-cause analysis, designing ontologies, and developing AI-assisted tools to compress manual triage. You will utilize Palantir Foundry, Databricks, SQL, and Python to transform production data into actionable insights. This role solves critical manufacturing quality problems by establishing data patterns for a greenfield site, ensuring high-volume production meets rigorous quality standards through automated monitoring and robust data-quality checks.
What does a Data Analyst earn?
Median $126775 from 72 postings across 23 companies.
Build and operate production dashboards, data pipelines, and quality metrics analytics for the Arsenal-1 manufacturing site.
Extract data from production systems like ERP, MES, and QMS to build ontologies in Palantir Foundry and Databricks.
Conduct root-cause analysis using SQL and Python to investigate and fix data inaccuracies across the tech stack.
Manage the site's analytics backlog by gathering requirements from floor operators and translating them into technical tasks.
Develop AI-assisted tools and workflows to automate repetitive manual triage and data analysis tasks.
Implement robust data-quality checks, validation rules, and automated monitoring directly into data pipelines.
Train manufacturing operators and run office hours to ensure high adoption rates of deployed analytics tools.
Collaborate with manufacturing engineers on the shop floor to analyze quality workflows and implement actionable dashboards.
What we're looking for
Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
4+ years of experience as a Data Engineer, Analytics Engineer, or similar role.
At least 1 year of applied data experience in a hardware product engineering environment.
Experience with Foundry, Databricks, or an equivalent cloud lake house.
Strong SQL skills for large, multi-source datasets, including joins, window functions, and performance tuning.
Strong applied experience using AI tools with the ability to critically review AI-generated artifacts.
Demonstrated ability to perform root-cause analysis on complex data issues.
U.S. citizenship is required and the applicant must be eligible to obtain and maintain a U.S. Government security clearance.
Data Quality
Data Observability
SQL
Python
ETL
ELT
Collibra
Informatica
Monte Carlo
Great Expectations
Soda
Alation
Informatica Axon
Data Governance
Data Architecture
HIPAA
GDPR
CCPA
Remote (Pleasanton, CA)+6104 days ago
$95,000–$175,000
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