Leslie Finlay
About Leslie Finlay
Leslie Finlay is a Senior Product Analytics Manager at Jobber, with a diverse background in product analytics and insights across various companies, including ecobee and Wattpad. Finlay holds advanced degrees in Applied Mathematics and Project Management, and possesses strong programming skills in languages such as Python and R.
Current Role at Jobber
Leslie Finlay serves as the Senior Product Analytics Manager at Jobber, a position held since 2022. In this role, Leslie focuses on leveraging data analytics to inform product development and enhance user experience. The responsibilities include analyzing product performance metrics and collaborating with cross-functional teams to drive data-driven decision-making.
Previous Experience at Ecobee
Prior to joining Jobber, Leslie worked at ecobee as the Product Analytics Lead for a duration of 8 months in 2022. In this capacity, Leslie was responsible for analyzing product data and providing insights to improve product features and user engagement.
Career Background in Analytics
Leslie has extensive experience in analytics, having worked at various organizations. This includes a role as Analytics Manager at Wattpad from 2018 to 2019, and as Senior Insights Analyst at Wave HQ from 2019 to 2021. Leslie also held the position of Analytics Lead at Wave HQ from 2021 to 2022, further solidifying expertise in data analysis and insights generation.
Educational Background
Leslie Finlay has a strong educational background in mathematics and project management. Leslie earned a BMath in Applied Mathematics from the University of Waterloo, followed by an MMath in Applied Mathematics with a focus on Computational Fluid Dynamics. Additionally, Leslie studied Project Management at Ryerson University, achieving a specialization in publishing.
Technical Skills and Programming Experience
Leslie possesses a strong technical background with programming experience in languages such as Python, R, and bash. Additionally, Leslie is skilled in mathematical programming environments like Maple and MATLAB. This technical proficiency supports effective communication between technical and business teams, showcasing interdisciplinary skills.