Tavis Buckland
About Tavis Buckland
Tavis Buckland is a Data Analyst currently employed at Environics Analytics in Toronto, Ontario, Canada. He has a background in data analysis and web development, with previous roles at Ryerson University and other organizations.
Current Role at Environics Analytics
Tavis Buckland serves as a Data Analyst at Environics Analytics, a position he has held since 2021. In this role, he is responsible for analyzing data to provide insights that inform business decisions. His work contributes to the company's mission of delivering data-driven solutions to clients across various sectors. Tavis's expertise in data analysis supports the development of strategies that enhance client outcomes.
Work at Ryerson University
Tavis Buckland has been involved with Ryerson University in multiple capacities. He has worked as an Administrative Assistant in Web Development since 2020. Prior to this role, he served as a Research Assistant for one year, where he contributed to various academic projects. His experiences at Ryerson University have provided him with a strong foundation in research and administrative support.
Previous Employment Experience
Tavis Buckland has a diverse work history that includes positions in data entry, customer relations, and environmental services. He worked as a Data Entry Clerk at Adease Media Intelligence for eight months in 2012-2013. He also held the position of Data Collection Associate at MPAC for five months in 2019. Additionally, Tavis worked as a Forest Fire Fighter and Equipment Management Clerk with the Ontario Ministry of Natural Resources and Forestry from 2016 to 2018.
Education and Expertise
Tavis Buckland holds a Master of Spatial Analysis (MSA) from Ryerson University, which he completed in 2021. He also earned a Bachelor's degree in Geographic Analysis from the same institution, graduating in 2020. His educational background equips him with the analytical skills necessary for his current role in data analysis, as well as a strong understanding of spatial data and geographic information systems.