Jai Chi Cham
About Jai Chi Cham
Jai Chi Cham is a Data Analyst with a strong background in Logistics, Materials, and Supply Chain Management, as well as Business Data Analytics. He has worked at ON Semiconductor since 2019 and has gained valuable experience through various roles at Arizona State University.
Work at ON Semiconductor
Currently, Jai Chi Cham serves as a Data Analyst at ON Semiconductor, a position held since 2019. In this role, he utilizes his analytical skills to support data-driven decision-making processes. Prior to this, he completed a six-month internship as a Business Analyst Intern in Corporate Pricing at ON Semiconductor in 2019. His work at the company focuses on leveraging data to enhance operational efficiency and support business objectives.
Education and Expertise
Jai Chi Cham studied at Arizona State University - W. P. Carey School of Business, where he earned a Bachelor of Applied Science in Logistics, Materials, and Supply Chain Management, as well as a Bachelor of Business Data Analytics. His studies spanned from 2016 to 2019, during which he developed a strong foundation in both Supply Chain Management and Business Data Analytics. This educational background equips him with the skills necessary for effective data analysis and interpretation.
Background
Jai Chi Cham has a diverse background that includes professional experiences in both academic and corporate settings. He worked as an Information Systems Business Analyst Aide at Arizona State University for six months in 2018 and served as a Tutor at the W. P. Carey School of Business from 2017 to 2018. Additionally, he participated in the International Youth Exchange Program with Lions Clubs International in France, which provided him with valuable cross-cultural experiences.
Achievements
Throughout his academic and professional journey, Jai Chi Cham has developed strong interpretative and analytical skills. His combination of education and practical experience in data analytics and supply chain management positions him well for a career in the dynamic fields of Data Science and Data Analytics. His involvement in various roles has contributed to his understanding of data-driven decision-making.