Analyst, Advanced Analytics (Fixed Term Contract)

Who we are: Fairstone Bank and its family of brands are united in delivering innovative, accessible and reliable financial solutions that enable Canadians to reach their goals. Over the years, our brand family has grown. In 2024, Home Trust Company, Home Bank and Oaken Financial became part of the Fairstone Bank family of brands, alongside Fairstone, EdenPark and Fig. Together, we are the leading alternative lending bank in Canada. With a diverse suite of products—residential and commercial mortgages, consumer deposits and GICs, credit cards, retail and automobile financing, personal loans and digital lending—we offer financial solutions tailored to all Canadians, including newcomers, small-business owners, smart investors and savvy consumers. About the role: We are seeking a data-driven Product Analyst to drive product performance through rigorous experimentation, advanced analytics, predictive modeling, and scalable reporting. This role will own the design and analysis of A/B tests, develop predictive models to anticipate user behavior and outcomes, and translate insights into actionable business insights and strategy. This is a fixed term contract for 12 months. Key Responsibilities: Experimentation & Testing Design, execute, and analyze A/B and multivariate tests across product features and user journeys Define success metrics, guardrails, and statistical frameworks for experimentation Partner with Product, Marketing, and Engineering, to prioritize and implement test roadmaps Ensure test quality, validity, and scalability through best practices Product Analytics Analyze user behavior, funnels, cohorts, and feature adoption to identify opportunities Translate business questions into analytical and statistical frameworks Perform root cause analysis on product performance issues Support product strategy with data-driven insights and recommendations Predictive Modeling Develop and deploy predictive models (e.g., propensity, churn, conversion, LTV) to forecast user behavior and business outcomes Build segmentation and scoring frameworks to enable targeted product strategies Incorporate model outputs into product decisions, experimentation, and optimization pipelines Monitor model performance and recalibrate based on data drift and evolving user behavior Dashboarding & Reporting Build and maintain interactive dashboards (e.g., QuickSight, Tableau, Power BI) Enable self-serve analytics through scalable data models and clear metric definitions Automate reporting pipelines and standardize KPI tracking Communicate insights through concise, executive-ready summaries What we’re looking for: Bachelor’s degree in computer science, engineering, economics, or similar fields, with a quantitative focus. 3+ years in product analytics, experimentation, or data science roles Strong SQL and experience with Python/R for statistical analysis and modeling Hands-on experience with A/B testing and experimental design Experience building predictive models (e.g., regression, classification, ML techniques) Proficiency in dashboarding tools (QuickSight, Tableau, Looker, Power BI) Solid understanding of product metrics (funnels, retention, LTV, conversion) Ability to translate complex analysis into clear, actionable business insights Proficiency with reporting and analytical tools such as Quick Sight, Py, SAS, SQL is a plus. Knowledgeable in multichannel interaction and attribution models Experience in AI is a plus Proficient in data storytelling and presentation, including PowerPoint and other presentation tools. Strong communication skills (written, verbal, and visual) with the ability to cultivate effective relationships across cross functional teams (business, marketing, product, technical, etc.) Ability to work independently, multi-task and thrive in a collaborative, fast-paced and sometimes ambiguous work environment. What you’ll love about working here: Award-Winning Culture: We’re proud to be recognized as a Great Place to Work Canada 2025 and one of Montreal’s Top Employers 2025 by Canada’s Top 100 Employers. Work-Life Balance: Enjoy flexibility with our hybrid work model designed to support your lifestyle. On-Site Fitness: Gym access at our London and Montreal offices. What you can expect - pay & process: Expected base salary: $60,000 - $75,000. This posting is for an existing temporary vacancy within our organization. Artificial intelligence may be used in parts of the recruitment process. All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. If what you read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for first stages of the interview process. Learn more: https://www.fairstone.ca/en/about/canadian-lender Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/ If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application. Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence. Time Type: Full time Job Type: Temporary (Fixed Term)

The role focuses on driving product performance through A/B testing, predictive modeling, and scalable reporting. It involves analyzing user behavior and translating data insights into actionable business strategies.

Requires a Bachelor's degree in a quantitative field and 3+ years of experience in product analytics or data science. Proficiency in SQL, Python/R, and dashboarding tools like Tableau or Power BI is essential.

• Hybrid Work Model • On-Site Fitness Gym

Identified from the job description. Confirm important requirements above.

• A/B Testing
• Predictive Modeling
• SQL
• Python
• R
• Data Visualization
• Product Analytics
• Statistical Analysis
• Machine Learning
• Dashboarding
• Data Storytelling
• Root Cause Analysis
• Experimental Design
• KPI Tracking
• Segmentation
• Churn Forecasting
• Attribution Modeling
• Pipelines
• Product Metrics
• Alternative Lending
• Advanced Analytics
• User Research
• Microsoft Access
• Artificial Intelligence
• Analytics
• Business Marketing
• Deposit Accounts
• Behavioral Analytics
• Dashboard
• Commercial Mortgage
• Communication
• Computer Science
• Data Modeling
• Design of Experiments (DOE)
• Economics
• English Language
• French Language
• Sales Funnel
• R (Programming Language)
• Scalability
• Innovation
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Loans
• Loan-To-Value Ratios
• Multitasking
• Microsoft PowerPoint
• Product Marketing
• Power BI
• SAS (Software)

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Engineering
• Advanced Analytics Analyst
• Analytics Product Manager
• Research and Development Managers
• Marketing Managers

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week