Manufacturing Data Analytics Engineering… at Lumentum · USA - CA…

Summary: Lumentum is a company committed to passion and customer focus, seeking a Manufacturing Data Analytics Engineering Intern to support yield improvement and process optimization for high-speed optical modules. The role involves mining production line data, structuring it for statistical analysis, and working closely with engineers to enhance production yield through data-driven insights. Responsibilities: - Extract and mine large datasets from production line systems, MES databases, and test platforms - Clean, structure, and map manufacturing data into JMP-ready formats for advanced statistical analysis - Perform SPC analysis, including control chart development and process monitoring - Calculate and interpret Cp/Cpk metrics to evaluate process capability and identify variation sources - Correlate upstream process parameters with downstream module test results and yield performance - Support root cause analysis for yield excursions and process out-of-control events - Develop automated Python scripts to streamline recurring data preparation and reporting workflows - Partner with process and manufacturing engineers to recommend data-driven process improvements - Document findings and present yield improvement recommendations to engineering teams Required Qualifications: - Currently enrolled in a Bachelor's or Master's degree program in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related technical field Preferred Qualifications: - Experience with statistical analysis and process capability concepts (SPC, Cp, Cpk, GR&R) - Proficiency in Python (Pandas, NumPy) or similar data analysis tools - Familiarity with JMP or other statistical process control software is strongly preferred - Exposure to manufacturing systems, MES databases, or SQL querying is a plus - Understanding of yield analysis and process variation reduction methodologies - Strong analytical thinking and ability to interpret large datasets - Effective communication skills and ability to collaborate with cross-functional teams - A proactive, hands-on mindset with interest in manufacturing process improvement Required Skills: Statistical analysis, Python, JMP Important Skills: Manufacturing systems, Data analysis tools Nice-to-Have Skills: Analytical thinking Benefits: Annual bonus, Commission for certain sales roles, Equity, Health and welfare benefits