Sanmina Corporation is seeking a Yield Improvement Data Analyst to address the challenges in the PCB industry, which is focusing on Interconnect Technology and Miniaturization, with complex multi-layered circuits and increasingly smaller features. The role aims to improve manufacturing data analysis for yield enhancement and provide insights into process trends and Key Performance Indicators (KPIs).
Requirements
- Experience working with large, complex data sets.
- Strong data analysis skills and proficiency with tools such as JMP, Minitab, Excel, SQL, Power BI, and Python.
- Experienced in statistical data analysis and Design of Experiments
- Experience developing dashboards and interfacing with equipment to automate data compilation.
Responsibilities
- Implement new methods and capabilities for enabling efficient analysis of manufacturing data for yield improvement.
- Drive the automated publication of standard yield metrics and KPI’s across the factory (PCB fabrication and final test).
- Develop dashboards and applications to clearly communicate process and equipment health to the Process Engineering and Operations teams.
- Drive understanding of the relationship between design attributes and yield.
- Work with Product Engineering and Process Engineering to translate design attributes into design rules to choose optimal fabrication process flows.
- Develop rules to flag designs in the design-phase that are at the edge or outside of current factory capabilities.
- Review first article yields vs predicted yields.
Other
- Bachelor’s degree in an engineering discipline, preferably Electrical, Chemical, Mechanical, Industrial or Materials Science Engineering.
- A self-starter with good written and oral communication skills.
- This is an ITAR facility and applicant must be a US Citizen or a lawful permanent resident.
