Data Analyst

at  Goeasy

Embark on a journey with one of Canada’s fastest growing companies – welcome to goeasy! We have been honored with recognitions such as Waterstone Canada’s Most Admired Corporate Cultures, the 2022 Report on Business Women Lead Here, Report on Business for Canada’s Top Growing Companies and TSX30 as one of the best performing companies on the TSX. We’ve also received the Greater Toronto Top Employers Award and certified as a Great Place to Work®. We’re on the lookout for the best and brightest to join our team!
Our vision is to provide everyday Canadians a path to a better tomorrow, today. As one of Canada’s leading non-prime consumer lenders, we offer a full suite of products including non-prime leasing, unsecured and secured loans as well as point-of-sale-financing though easyhome, easyfinancial, and LendCare.
We are in search of for Data Analyst for our LendCare subsidiary. As a Data Analyst at LendCare, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

WHAT EXPERIENCE DO YOU HAVE?

• Basic Qualifications:
• Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics discipline.
• Minimum 1 year of experience in Python, R, or SQL.
• Proficiency in ETL frameworks, with knowledge of Microsoft SSIS is a plus.
• Ability to articulate complex technical concepts to both technical and non-technical audiences.
• Strong curiosity to learn about data, models and algorithms and proven track record in analytical and problem-solving skills.
• Demonstrated ability to deliver accurate results under pressure or within tight deadlines.
• Preferred Qualifications:
• Master’s Degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 2 years of coding experience in Python, R, or SQL.
• Minimum 1 year of experience utilizing a business intelligence visualization tool; familiarity with Tableau is a bonus.
• Knowledge of Machine Learning techniques (e.g., Regression, Decision Trees, SVM, Anomaly Detection, Clustering, and Deep Learning).
• Prior experience in the financial or lending industry is a plus.
  We offer a Flexible Work Program that provides you the ability to work remotely as well as in our Mississauga, downtown Toronto, and Pickering offices.
  Internal Applicants: please apply through the link and provide written endorsement from your current manager.

• Data Infrastructure
• Enhance and sustain existing data pipelines to align with evolving business requirements.
• Develop automated reports using SQL or Python for various stakeholders.
• Construct scalable and automated ETL packages and stored procedures in Microsoft SQL Server, ensuring data integrity and compliance with governance standards.
• Demonstrate ability to explore and quickly grasp new technologies to advance varied initiatives.
• Business Intelligence:
• Collaborate with cross-functional teams to architect and deploy tools, methodologies, metrics, and dashboards for insights and data visualization.
• Accommodate requests for enhancements on current dashboards, perform filter adjustments, template improvement, and metric development/expansion.
• Stay on top of the latest development in BI tools and explore their integration into existing enterprise visualizations to enhance efficiency.
• Data Analytics:
• Interpret data, apply statistical techniques, and enhance ongoing reports.
• Develop and execute tools for monitoring and reporting on data quality.
• Conduct analysis that provides meaningful insights on business strategies.