Data Analyst, Quality

What you'll do

• Build and maintain production dashboards, data pipelines, and quality metrics for the Atlanta manufacturing site.
• Extract data from production systems like ERP, MES, and QMS to build ontologies in Palantir Foundry and Databricks.
• Conduct deep-dive SQL and Python analysis to investigate, troubleshoot, and fix data quality issues at the source.
• Gather requirements from shop floor operators and engineers to prioritize the analytics backlog and develop new products.
• Develop AI-assisted tools and workflows to automate repetitive manual triage and data analysis tasks.
• Train operators and run office hours to drive the adoption of analytics tools across the manufacturing site.
• Implement automated data-quality checks and validation rules directly into the data pipelines.

What we're looking for

• Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field.
• 2+ years of experience in a Data Analyst, Data Engineer, Analytics Engineer, or similar role.
• Experience with Foundry, Databricks, or an equivalent cloud lakehouse to build and maintain pipelines and dashboards.
• Strong SQL skills for joins across heterogeneous systems, window functions, and performance tuning on large datasets.
• Applied experience using AI tools like Cursor, Claude Code, Copilot, or AIP with the ability to critically review AI-generated artifacts.
• Demonstrated ability to troubleshoot and trace data issues back through the stack to identify root causes.
• Must be eligible to obtain and maintain a U.S. Government security clearance for an ITAR-regulated role.
• Experience in hardware manufacturing, familiarity with manufacturing data systems (ERP, MES, QMS), and strong Python skills (preferred).