Specialist, Business Process

Job DescriptionPerforms data analysis and documentation of team business processSupport system enhancements, perform conversion test cycles (UAT/ SiT) and mass data loadPropose enhancements on process and systems for continuous improvements impacting team performance and quality of workWork closely with Product Engineering, Business Units, Quality. Manufacturing and IT for information to be loaded in the systemHold and Conduct Product related meetings and update team on target goals and Project KPI'sLeading or supports an integration projectCollects and analyzes manufacturing data and process details to recommend actions for transition or migration and standardization and or finding a way on how they can be improved or automatedResponsible for data preparation, validation, and data cleansing for system readinessFacilitates training or educating business users responsible for managing and operating business processesWork with fellow Product Data Management team members and ability to delegates tasks QualificationsGraduate of any bachelor's degree with an equivalent experience in semiconductor manufacturing operationsWith at least 3 years hands-on experience in Semiconductor industryFamiliar with Manufacturing Execution system (CAMSTAR) is preferredWith good communication skills (verbal & written) & customer centric, works well under pressure and fast pace environment, assertive, passion for learning, achievement and excellence.With good computer skills and proficient in MS Office ApplicationKnowledge of ON Semiconductor Data Management System and processes (AGILE, Oracle, DocServer, EDAC and MBOI) is preferredPreferably with background in programming and relational database queries/ reports (knowledge in SQL is an advantage)Has the ability to work with multiple functional areas and global locations**Job Description**:- Performs data analysis and documentation of team business process- Support system enhancements, perform conversion test cycles (UAT/ SiT) and mass data load- Propose enhancements on process and systems for continuous im