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Senior Data Analyst, Quality

Anduril· Hardware Engineering : Quality
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Atlanta, GA$143k - $191kFull-timePosted 3mo ago

About the role

Senior site analytics engineer responsible for designing, building, and operating production analytics, dashboards, and data pipelines at Anduril's Atlanta facility. Focus on analytics for manufacturing quality, data quality, and AI-assisted analytics tools, with end-to-end ownership from requirements to rollout and adoption.

Responsibilities

  • Intersection of Analytics and Manufacturing: analyze shop-floor quality workflows and build actionable dashboards.
  • Production Data: pull from ERP, MES, QMS, inventory; build pipelines and ontologies in Palantir Foundry and Databricks; collaborate with manufacturing engineers, ML practitioners, and program quality leads.
  • Develop and Operate Site Analytics: design, build, and operate dashboards, pipelines, and quality metrics for the site.
  • Run intake and priorities for the site: gather feedback from operators and engineers; maintain a prioritized backlog; file requests to HQ.
  • Investigate data quality: lead root-cause analysis, perform deep-dive analyses in SQL and Python, fix issues at the source.
  • Drive technical improvements: implement data-quality checks, validation rules, and automated monitoring in pipelines.
  • Build AI-Assisted Analytics Tools: small apps/workflows in Foundry/Databricks to reduce repetitive analyst work.
  • Lead Data Projects End-to-End: translate needs into data products and own deployments.
  • Drive Adoption: train operators, run office hours, track usage, and treat adoption as a deliverable.
  • AI Use: actively use AI tools to draft pipelines, write tests, generate dashboards, and accelerate repetitive tasks.

Qualifications

  • Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or related technical field.
  • 4+ years in a Data Engineer or Analytics Engineer role with at least 1 year in a hardware product engineering environment.
  • Experience with manufacturing operations and data workflows; willingness to work on the shop floor.
  • Experience with Foundry, Databricks or equivalent cloud lakehouse; built and maintained pipelines and dashboards.
  • Strong SQL on large, multi-source datasets; performance tuning.
  • Strong applied experience using AI tools (e.g., Cursor, Claude Code, Copilot, AIP) with critical evaluation of outputs.
  • Demonstrated root-cause analysis on complex data issues.
  • Eligible to obtain and maintain a U.S. Government security clearance (ITAR).
  • Strong communication skills across technical and non-technical stakeholders.
  • Travel up to 25%.

Skills

Required:SQLPythonFoundryDatabricksData VisualizationAI/ML toolsManufacturing processes

Benefits

  • Comprehensive, competitive benefits package including health, recovery, and future planning support (details via Anduril benefits portal).
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Anduril

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