Hiring: Senior Data Analyst, Quality Company: Anduril Industries Location: Atlanta, GA Job Posted Time: 2026-09-15 10:24:09 Employment Type: Full-time Target Skills & Keywords : Computer Vision, Databricks, Embedded Systems, Foundry, Git, LLM, Pandas, PySpark, Python, RAG, REST, SQL About the job Experience: •4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 1 year applied data experience in hardware product engineering environment. •At least 1 year applied data experience in hardware product engineering environment. Required Skills: •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. •Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. •Develop and Operate Site Analytics: You will design, build, and operate the production dashboards, pipelines, and quality metrics inspection-data analytics the site runs on. •Drive technical improvements: You will implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. •Train operators, run office hours, track usage, and treat adoption as a deliverable you own, not a downstream side effect. •AI Use: You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job. Qualifications: •Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program. •You understand how manufacturing works: the workflows, the quality gates, and how manufacturing data drives or degrades quality outcomes. You are willing to work in and around manufacturing operations, including time on the production floor. •Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning. •Strong applied experience using AI (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 root-cause analysis on complex 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. •Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent). •Operational familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design. Compensation: •$143,000 - $191,000 / year •Competitive benefits and rewards package •Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!