Site Analytics Engineer: AI-Driven Quality

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

Job summary

Anduril Industries, Inc. seeks a Site Analytics Lead for the Atlanta facility to own production analytics, dashboards, and data quality on the shop floor.

You will work with manufacturing engineers, ML practitioners, and program quality leads to deliver scalable data products that impact quality and throughput. You will build pipelines in Foundry and Databricks, maintain data quality, and drive tool adoption across programs while ensuring ITAR compliance and readiness for security clearance.

Qualifications

• Bachelor’s degree in a technical field and 2+ years in data analytics or engineering.
• Experience building pipelines and dashboards in Foundry/Databricks or equivalent.
• Strong SQL skills across large, multi-source datasets.

Responsibilities

• Operate at the intersection of analytics and manufacturing on the shop floor.
• Pull data from ERP, MES, QMS, and inventory; build pipelines and ontologies in Foundry and Databricks.
• Design, build, and maintain production dashboards and quality metrics.
• Translate operator feedback into a prioritized backlog for HQ with clear asks.
• Perform deep-dive data quality analysis in SQL and Python and fix root causes.
• Develop AI-assisted analytics tools to reduce repetitive analyst work.
• Drive adoption through training, office hours, and tracking usage.

Skills

SQL

Data analysis

Python

AI tools experience

Troubleshooting data issues

Communication

Data pipelines

Education

Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or related field

Tools

Foundry

Databricks

ERP systems

Job description

Anduril Industries, Inc. seeks a Site Analytics Lead for the Atlanta facility to own production analytics, dashboards, and data quality on the shop floor.

You will work with manufacturing engineers, ML practitioners, and program quality leads to deliver scalable data products that impact quality and throughput. You will build pipelines in Foundry and Databricks, maintain data quality, and drive tool adoption across programs while ensuring ITAR compliance and readiness for security clearance.