Data Analyst, Quality

Ashville · Ashville, OH (Arsenal 1) · USD 97,000-120,000 · 0-2 years experience · Full-time · Onsite · Posted Sep 29, 2026

At a glance

Anduril Industries is seeking a Data Analyst, Quality for its Arsenal-1 hyperscale manufacturing facility in Ashville, OH.
This hub-and-spoke site applications lead role acts as the resident analytics engineer, bridging hardware manufacturing and data analytics.
The position involves hands-on building of analytics tools, managing rollouts, and supporting program quality leaders, manufacturing engineers, and operators.

Work at the intersection of hardware manufacturing and data analytics by spending time on the shop floor learning quality workflows and building dashboards.
Pull from production systems like ERP, MES, QMS, and inventory, and help build pipelines and ontologies in Palantir Foundry and Databricks.
Design, build, and maintain production dashboards, pipelines, and quality metrics for the greenfield Arsenal-1 site.
Support intake and requirements by participating in feedback loops with operators and translating them into backlog items.
Investigate data quality by running deep-dive analysis in SQL and Python to trace and fix problems at the source.
Contribute to technical improvements by implementing data-quality checks, validation rules, and automated monitoring in pipelines.
Build AI-assisted analytics tools such as small apps and workflows in Foundry or Databricks.
Support data projects end-to-end from requirements through deployment and rollout efforts.
Drive adoption by training operators, running office hours, tracking usage, and treating adoption as a deliverable.
Use AI aggressively in your own work to draft pipelines, write tests, generate dashboards, and explore data.

Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Mechanical Engineering, or a related technical field from an accredited program.
Demonstrated interest or coursework in data engineering, analytics, or applied data science through internships, co-ops, capstone projects, or personal projects.
Curiosity about how manufacturing works and willingness to work in and around manufacturing operations, including time on the production floor.
Proficiency in SQL including writing queries across multiple tables, using joins, aggregations, and window functions.
Familiarity with at least one programming language for data work (Python preferred).
Comfort using AI tools (Cursor, Claude Code, Copilot, ChatGPT) and an ability to review AI-generated output critically.
Strong problem-solving instincts to troubleshoot data inaccuracies.
Eligible to obtain and maintain a U.S. Government security clearance (role is subject to ITAR).
Plain communication skills tailored to both directors and engineers.
Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal-1 in Ashville, OH, with travel up to 25%.

Internship or co-op experience in a manufacturing, industrial, or hardware engineering environment.
Exposure to ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems.
Experience with a cloud data platform (Databricks, Foundry, Snowflake, BigQuery, or similar).
Python for data transformation and scripting (Pandas, PySpark, or equivalent).
Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, or statistical process control.
Defense or regulated-manufacturing exposure (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
Software engineering practices: Git, code review, CI, and testing data code.
Interest in integrating LLMs or ML models into analytics workflows.

Competitive equity grants included in the majority of full time offers
Top-tier benefits for full-time employees supporting health, recovery, and other needs

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