Analytics Lead, Manufacturing Quality
Anduril Industries · Atlanta, Georgia, United States
Posted about 3 months ago
or apply directly on Anduril Industries's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 102 days Anduril Industries's roles stay open a median of 103 days
- Reposted
- No
- Salary listed
- No 1% of Anduril Industries's roles list one
- Ghost-job risk at Anduril Industries
- high 2263 stale, 67 reposted of 2,263 open
- Hiring momentum
- 649 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from Anduril Industries's own greenhouse board since 2026-08-03. Full hiring picture for Anduril Industries.
About this role
As a Senior Data Analyst in Quality at Anduril Industries, you will be responsible for managing and enhancing analytics tools that support manufacturing quality. Your role involves building and maintaining production dashboards, developing data pipelines, and collaborating with cross-functional teams to ensure data accuracy and drive improvements in quality workflows. You will also engage directly with operators and engineers to gather requirements and prioritize analytics projects, while utilizing AI tools to streamline processes.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anduril Industries as an employer.
What you need
- Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
- 4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 1 year applied data experience in hardware product engineering environment.
- Understanding of manufacturing workflows, quality gates, and how manufacturing data impacts quality outcomes.
- Experience with Foundry, Databricks or an equivalent cloud lake house, including building and maintaining pipelines and dashboards.
- Strong SQL skills on large, multi-source datasets, including joins across heterogeneous systems and performance tuning.
- Strong applied experience using AI tools with the ability to critically review AI-generated artifacts.
Nice to have
- Experience supporting analytics for hardware manufacturing across ERP, MES, QMS, PLM, or inventory systems.
- Strong Python skills for data transformation and scripting.
- Experience as an embedded or site-resident engineer at a manufacturing site or in a greenfield facility.
- Familiarity with quality methodologies such as RCCA, FMEA, GD&T, IQC/OQC, and control-plan design.
- Experience in defense or regulated manufacturing environments.
What you get
- Comprehensive, competitive benefits package available at little to no cost to employees.
- Highly competitive equity grants included in the majority of full-time offers.
Worth weighing
- Role requires hands-on work on the shop floor, which may not suit all candidates.
- The position is subject to ITAR, necessitating a U.S. Government security clearance.
- No specific salary details provided beyond a range, which may vary based on multiple factors.
Summarised from Anduril Industries's posting. Read the full original.
Listed by Anduril Industries on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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