Hanna Kim
About Hanna Kim
Hanna Kim is a Data Analyst specializing in Business Intelligence, currently employed at Canopy Growth Corporation since 2021. She has a diverse background in data analysis across various sectors, including healthcare, academia, and retail.
Work at Canopy Growth
Hanna Kim currently serves as a Data Analyst in the Business Intelligence department at Canopy Growth Corporation. She has been in this role since 2021 and is based in Toronto, Ontario, Canada. In her position, she focuses on analyzing data to support business decisions and strategies within the company.
Previous Experience in Data Analysis
Before joining Canopy Growth, Hanna Kim held several positions in data analysis. She worked as a Senior Analyst - Allocations at Loblaw Companies Limited for five months in 2021. Prior to that, she was a Data Analyst - Research Project on BMI Trajectories at McMaster University from 2018 to 2019. Additionally, she served as a Multi-Organ Transplant Biostatistics Researcher at University Health Network from 2017 to 2019.
Education and Expertise
Hanna Kim holds a Master of Science in Mathematics and Statistics from McMaster University, which she completed from 2018 to 2019. She also earned a Bachelor of Science in Statistics and Anthropology from the University of Toronto, graduating in 2018. Her educational background provides a strong foundation for her work in data analysis and business intelligence.
Background in Academic and Research Roles
Hanna Kim has a background in academic and research roles. She worked as a Database Assistant for the University of Toronto's Department of Religion for three months in 2016. Additionally, she was an Archaeological Data Analyst for the CRANE Project at the University of Toronto in 2015, where she utilized ArcGIS software.
Experience in Marketing Intelligence
Hanna Kim also has experience in marketing intelligence, having worked as a Data Analyst at Husky Technologies from 2020 to 2021. In this role, she focused on analyzing marketing data to inform business strategies and improve decision-making processes.