Site Analytics Engineer for Manufacturing Quality & AI

Anduril Industries; Atlanta (GA); On-site; USD 127,000 - 170,000; Full time

Job summary

Anduril Industries in Atlanta is seeking a site analytics lead to own production dashboards and data pipelines, working with ERP/MES/QMS data and AI tools to improve manufacturing quality on the factory floor.

You will partner with manufacturers, engineers, and program quality leaders to translate floor needs into data products, ensure data integrity, and drive improvements into the HQ roadmap, all within ITAR constraints.

Qualifications

• Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related 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 with ability to review AI-generated artifacts critically.
• 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 (ITAR).
• You communicate plainly: to a director without jargon, to an engineer without losing precision.
• Travel up to 25% to Anduril sites and vendors.

Responsibilities

• Operate at the intersection of analytics and manufacturing, building dashboards for production use.
• Pull data from ERP, MES, QMS, and inventory; build pipelines in Foundry and Databricks.
• Design, build, and maintain production dashboards, pipelines, and quality metrics.
• Collect requirements from operators and engineers and drive a prioritized backlog.
• Perform deep-dive SQL and Python data quality investigations to identify root causes.
• Contribute to data-quality checks, validation rules, and automated monitoring in pipelines.
• Build AI-assisted analytics tools to reduce repetitive analyst work.
• Support data projects end-to-end from requirements through deployment.
• Drive adoption by training operators and hosting office hours.
• Use AI to draft pipelines, tests, and dashboards.

Skills

SQL proficiency

Data analysis

Communication

Python

Education

Bachelor's degree in CS/Engineering

Tools

Foundry

Databricks

Python

Job description

Anduril Industries in Atlanta is seeking a site analytics lead to own production dashboards and data pipelines, working with ERP/MES/QMS data and AI tools to improve manufacturing quality on the factory floor.

You will partner with manufacturers, engineers, and program quality leaders to translate floor needs into data products, ensure data integrity, and drive improvements into the HQ roadmap, all within ITAR constraints.