Data Analyst, Quality at Anduril Industries · LumiJobs

Responsibilities

Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor understanding quality workflows, building analytics tools for those workflows, and implementing them in well-designed, actionable dashboards.
Production Data: You'll pull from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on.
Build and Maintain Site Analytics: You will help design, build, and maintain the production dashboards, pipelines, and quality metrics the site runs on.
Support intake and priorities for the site: Participate in a standing feedback loop with operators, manufacturing engineers, and program quality. Help turn what you hear into a prioritized, visible backlog and file crisp, evidence-backed asks back to HQ so the platform gets better.
Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you dig in. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source.
Contribute to technical improvements: You will help implement data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you helped make it provably trustworthy.
Build AI-Assisted Analytics Tools: Small apps and workflows in Foundry / Databricks that reduce repetitive analyst work, grounded in what you have learned from operators on the floor.
Support Data Projects End-to-End: Partner with cross-functional teams from requirements through deployment. Help translate program quality leads' problems into data products and support rollouts.
Drive Adoption: A dashboard nobody opens is ineffective. You will help train operators, run office hours, track usage, and treat adoption as a deliverable, not a downstream side effect.
AI Use: You will be expected to use AI in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job.

Qualification

Bachelor's degree in Computer Science2+ years in a Data AnalystExperience with FoundryStrong SQL on largeEligible to obtain and maintain a UYou communicate plainlyFamiliarity with quality methodologiesSoftware engineering practices$127

Required

Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field.
2+ years in a Data Analyst, Data Engineer, Analytics Engineer, or similar role.
Experience with Foundry, Databricks, or an equivalent cloud lakehouse. You have built or maintained pipelines and dashboards other teams depend on.
Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning.
Applied experience using AI tools (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don't.
Demonstrated ability to troubleshoot data issues. When a number looks wrong, you can trace it back through the stack and explain why.
Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR).
You communicate plainly: to a director without jargon, to an engineer without losing precision.
Travel up to 25% to Anduril sites and vendors.

Preferred

Experience in a hardware manufacturing environment (NPI, ramp, high-volume) or comfort working in and around manufacturing operations, including time on the production floor.
Familiarity with manufacturing data systems: ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems.
Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent).
Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design.
Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code.
Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration.
$127,000—$170,000 USD

Data Analyst, Quality

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Anduril Industries

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