Data Analyst

• Develop and maintain dashboards and reports to monitor manufacturing, supply chain, and inventory KPIs (e.g., OEE, yield, cycle time, material variance, on-time delivery, supplier performance)
• Write SQL and Python scripts to clean, aggregate, and model data for analysis and visualization
• Partner with operations leaders to define metrics and data models that reflect real-world production processes
• Identify automation opportunities across the supply chain (e.g., data syncs, quality alerts, order tracking)
• Ensure data accuracy and governance, supporting digital traceability and manufacturing genealogy
• Collaborate with IT and software teams to integrate data sources and deploy analytics tools (Power BI, Sigma, Looker, or similar)
• Support ad-hoc analyses to drive continuous improvement projects and cost-reduction initiatives
• Build ETL data pipelines to extract data from ERP/MRP, MES, and inventory systems (e.g., Odoo or custom databases)

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Supply Chain, Data Science, or a related field
• 2–5+ years of experience in manufacturing, operations, or analytics roles
• Strong SQL skills, along with one or more scripting languages (Python, R), and experience working with APIs
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker, Retool, Sigma)
• Strong understanding of manufacturing or supply chain data structures (work orders, BOMs, routings, inventory, purchase orders)
• Leadership capabilities and ability to deliver independently and communicate with executives
• Familiarity with data pipelines and ETL tools (Airbyte, dbt, Fivetran, Airflow, or similar) is a plus

Familiarity with data pipelines and ETL tools (Airbyte, dbt, Fivetran, Airflow, or similar)

• Health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays