Analyst, Business Analytics & Modeling

Who we are: Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase. We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us. About the role: Do you love diving into data, solving problems with tech, and learning how fintechs get funded by lenders? Are you equally skilled at balancing deep thinking with pragmatic execution, and always delivering on time? If you’re ready to take your strategic thinking, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you! As the Analyst, Business Analytics & Modeling, you’ll work under the direction of the VP – FP&A to deliver precise forecasts and accurate models that deliver the insights necessary to optimise planning and decision-making. You'll also play a key role in leading analytics deep dives, building new capabilities, automating processes, and arming stakeholders across the business with the information and advice needed to win. If bouncing between building predictive forecasts, responding to urgent leadership requests, and figuring out how to turn complex human behaviour into succinct algorithms excites you, then you’re the dynamic analytics and modeling analyst we’re looking for! Just make sure to bring your communication “A-game” along with your driven personality and aptitude for solving problems. Translating macroeconomic effects and microeconomic personal intermediated decision-making into accurate and precise predictions is no small feat and requires a ton of team-based continuous improvement. Oh, and yes, being fun matters. A lot. What you'll be doing: Assemble, analyze and transform large complex data sets using Python & SQL (or comparable tools) to understand borrower behavior and optimizing merchant pricing decisions Support the development and delivery of on-time high-quality daily, weekly, monthly, quarterly Lender (e.g., Portfolio Performance), and Financial (e.g., IFRS) dashboards and reports Leverage Generative AI tools (e.g., ChatGPT, Claude) to streamline workflows, enhance content creation, and automate repetitive administrative tasks. Continuously improve departmental efficiency by identifying opportunities to apply automation, data pipelines, and AI to your work (e.g. forecast model, monthly financial reports etc.) Build and refine accurate unit economic, borrower-level vintage, segment and valuation models to enhance customer lifetime value Build and refine cashflow and profitability forecasts across products, segments, and stakeholders Communicate findings and recommendations through compelling visualizations & dashboards, and clear & concise executive-level presentations ​​Go beyond the surface level to build sophisticated yet explainable models that connect data to real-world events, customer attitudes and behaviors to deliver insights and inform high-value business decisions Partner with cross-functional teams to understand their needs and goals to proactively ensure they have the models, tools, and insights needed to succeed Participate in strategic projects and initiatives related to financial optimization Document all policies, strategies, data sets, and tools (using tools like Confluence) in ways that ensure clarity and a seamless and accurate internal transfer of knowledge Foster a team culture rooted in dedication, curiosity, and continuous improvement. Bring energy, positivity, a critical eye, unimpeachable integrity, a team-first attitude, and a desire to contribute to building something great, together.