Sr. Manager, Analytics

Propel Holdings•Toronto, ON

4d•CA$90,000 - CA$120,000

About The Position

Propel is a fintech company focused on providing credit access to consumers underserved by traditional financial institutions through its AI-driven platform. The company has facilitated over one million loans and lines of credit, totaling over one billion dollars. Propel seeks to build a new world of financial opportunity by bringing together bright talent, fostering a culture of entrepreneurship, and measuring success through results and internal growth. The company is recognized as one of North America's fastest-growing companies and a Best Place to Work. The ideal candidate thrives in a vibrant, entrepreneurial organization, is motivated by goals, is a self-starter, and enjoys wearing multiple hats in a fast-growing fintech environment.

Requirements

Masters or Bachelors degree in Business, Economics, Statistics, Mathematics, Computer Science, or related field
Minimum of 8+ years’ experience working with complex business and product analytics
Minimum 5+ years’ experience leading and managing large projects and teams
Proficiency in Microsoft applications, including Excel, SQL, Word, and PowerPoint
High proficiency in SQL, Tableau, and a scripting language (Python/R)
Strong analytical skills, including expertise in statistical analysis, predictive modeling, and machine learning
Proven ability to translate complex analytical work into executive-ready narratives and presentations.
Excellent communication and interpersonal skills, capable of working cross-functionally and presenting complex information in an accessible manner

Nice To Haves

Experience in Fintech is a plus

Responsibilities

Lead analytics projects from inception to completion, collaborating closely with cross-functional teams to inform and execute business strategies.
Deliver clear, persuasive, and executive-ready analytics insights to senior management, shaping strategic decisions across products, operations, and customer experience.
Synthesize complex analyses into concise narratives, recommendations, and presentation materials for senior leader review.
Leverage analytical tools such as Tableau, SQL, Python, and R to analyse large volumes of structured and unstructured data for reporting, analysis, monitoring, and opportunity identification.
Partner with Marketing, Risk, Technology, Finance, and Operations teams to optimize models, workflows, and processes to maximize growth, profitability, conversion, and customer outcomes.
Define and monitor key performance indicators to guide goal setting, forecasting, and performance management, and to pinpoint trends, bottlenecks, and improvement opportunities.
Lead process analytics efforts to understand how internal workflows impact business performance and customer experience, and diagnose opportunities to improve efficiency, conversion, and service quality.
Identify, evaluate, and help drive AI adoption opportunities across analytics and business processes, including practical use cases that improve team effectiveness, insight generation, and decision-making.