Jonathan St Amand Lusignan
About Jonathan St Amand Lusignan
Jonathan St Amand Lusignan is a Data Strategist at Frima since 2021, with a diverse background in data analysis and sustainable development. He has worked in various roles at notable organizations, including Behaviour Interactive and UQAM, and has pursued extensive education in biology and business.
Work at Frima
Jonathan St Amand Lusignan has been employed at Frima as a Data Strategist since 2021. In this role, he focuses on data-driven strategies to enhance decision-making processes within the organization. His expertise in data analysis and strategy contributes to Frima's objectives and projects.
Previous Experience in Data Analysis
Prior to his current position, Jonathan worked as a Data Analyst at Behaviour Interactive from 2018 to 2019. His responsibilities included analyzing data to inform business decisions and improve operational efficiency. He also served as a Consultant en développement durable at Maillon Vert from 2020 to 2021, where he focused on sustainable development initiatives.
Educational Background
Jonathan has an extensive educational background. He studied at UQAM | Université du Québec à Montréal, where he earned a Baccalauréat in Biologie from 2004 to 2008, followed by a Master's degree in Biologie from 2009 to 2011. He also obtained a Certificat in Écologie from 2002 to 2003. Additionally, he pursued a Diplôme d'études professionnelles in Démarrage d'entreprises and Vente conseil at SAJE Montréal.
Current Studies in Bioinformatics
Jonathan is currently studying Bioinformatique at UQAM | Université du Québec à Montréal, where he is working towards a Diplôme d'études supérieures spécialisées (D.E.S.S.) since 2017. This program enhances his skills in data analysis within the biological sciences.
Project Coordination Experience
Jonathan has experience in project coordination, having worked as a Coordonnateur de projet at UQAM from 2006 to 2011. In this role, he was responsible for managing various projects, ensuring that objectives were met and resources were allocated effectively.