onsite
Product Engineering Data Analyst - Lumentum
Data Analyst
Analyze and accelerate product, process, yield, and test data for engineering teams using Python, SQL, and visualization tools to drive consistent, data‑driven decisions.
About the role
Key Responsibilities
- Extract, clean, and transform large sets of product and process data from manufacturing systems and test equipment.
- Develop automated dashboards and reports (e.g., Tableau, Power BI) to monitor yield, quality, and performance metrics.
- Perform statistical analyses to identify root causes of yield loss and recommend process improvements.
- Collaborate with product engineers, test engineers, and quality teams to translate data insights into actionable engineering changes.
- Maintain data pipelines and ensure data integrity across multiple sources and tools.
Requirements
- Strong proficiency in Python (pandas, NumPy) and SQL for data manipulation and analysis.
- Experience with data visualization platforms such as Tableau or Power BI.
- Solid understanding of statistical methods and Six Sigma or similar quality methodologies.
- Background in manufacturing or semiconductor test data preferred.
- Excellent communication skills to convey complex findings to cross‑functional teams.
Skills
pythonsqltableausix sigma