Fey Obasa
About Fey Obasa
Fey Obasa is a Senior Data Analyst and Reports Developer at Canopy Growth Corporation, where he has worked since 2019. He previously served as an SAP Business System Analyst/Developer at Kawasaki Rail Car from 2013 to 2019 and holds a Bachelor of Science in Computer Information Systems from Mercy College and a Master of Science in Information Systems from Pace University.
Work at Canopy Growth
Fey Obasa has been employed at Canopy Growth Corporation since 2019, serving as a Senior Data Analyst and Reports Developer. In this role, Obasa is responsible for analyzing data and developing reports that support the company's operations and decision-making processes. The position involves utilizing data analytics tools and methodologies to derive insights that can enhance business performance.
Previous Experience at Kawasaki Rail Car
Prior to joining Canopy Growth, Fey Obasa worked at Kawasaki Rail Car from 2013 to 2019 as an SAP Business System Analyst/Developer. In this capacity, Obasa focused on the development and analysis of business systems, leveraging SAP technologies to improve operational efficiency. This role involved collaborating with various stakeholders to ensure that business requirements were met through effective system solutions.
Education and Expertise
Fey Obasa holds a Bachelor of Science degree in Computer Information Systems from Mercy College. Additionally, Obasa earned a Master of Science degree in Information Systems from Pace University - Seidenberg School of Computer Science and Information Systems, completing the program from 2011 to 2013. This educational background provides a strong foundation in data analysis, system development, and information technology.
Professional Skills
In the roles held at Canopy Growth and Kawasaki Rail Car, Fey Obasa has developed a range of professional skills. These include data analysis, report development, and expertise in SAP systems. Obasa's educational qualifications further enhance these skills, enabling effective problem-solving and data-driven decision-making within organizations.