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Anduril Industries logo

Data Analyst, Quality

Anduril Industries · Atlanta, GA · Posted 8 days ago

$127k–$170konsiteic
2+ yrs expSQLPythonPalantir FoundryDatabricksERPMESQMSPySpark

Own the Atlanta site's production dashboards and pipelines for ERP/MES/QMS data and build new analytics products as the site takes on new programs.

Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes.

We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site analytics lead role at our Atlanta facility. You are the resident analytics engineer and the person accountable for what Quality Intelligence has deployed here. Atlanta already has production dashboards and pipelines running; you will own them, keep them accurate, and improve them as programs evolve. Beyond maintaining what exists, you will build new analytics products as the site takes on new programs and requirements from the floor. Most of this role is hands-on build; the rest is running the site as a program: gathering requirements from operators and engineers, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap.

This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance.

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There are 2,770 open roles at Anduril Industries right now. This role is one of 8 Data Analyst openings in Atlanta, GA and centers on SQL, Palantir Foundry, Databricks, and Python.

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