Analyst, Data Analytics- Retail Financing (Fixed Term Contract)

Fairstone BankToronto, ON
CA$60,000 - CA$70,000Hybrid

About The Position

We are seeking a data-driven Reporting Analyst to drive product performance through rigorous experimentation, advanced analytics, predictive modeling, and scalable reporting. This role will focus on automation of key performance metrics, own the design and analysis of A/B tests, leverage A.I. to develop predictive models to anticipate user behavior and outcomes. Translate insights into actionable business insights and strategy.

Requirements

  • 3+ years in growth analytics, credit risk, or financial services analytics.
  • Advanced proficiency in SQL, Python/R, and data visualization tools (Alteryx, Power BI - Tableau and asset)
  • Experience building and deploying A.I. driven models into production environments
  • Experience using credit products and risk frameworks in decision-making.
  • Background in machine learning models, optimization techniques and scenario modeling.
  • Strategic thinker with strong business and risk acumen.
  • Excellent communication and stakeholder management skills

Responsibilities

  • Develop/deploy interactive automated dashboards (e.g., QuickSight, Power BI - Tableau and asset)
  • Enable self-serve analytics through scalable data models and clear metric definitions
  • Conduct sensitivity analyses to assess portfolio impact and mitigate potential losses.
  • Support product strategy with data-driven insights and recommendations
  • Build scenario models (ex.: customer lifetime value) to evaluate growth strategies under varying risk conditions.
  • 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
  • Identifying growth initiatives using customer acquisition, credit score data, and approval strategies
  • Design, execute, and analyze A/B and multivariate tests across product features and user journeys
  • Partner with Product, Marketing, and Data Engineering, to prioritize and implement test roadmaps
  • Apply statistical and machine learning techniques to optimize credit decisioning and product performance.
  • Partner with Risk, Product, and Finance teams to align growth initiatives with credit policies and compliance requirements.
  • Present insights and recommendations to senior leadership in a clear, actionable manner.

Benefits

  • Hybrid work model
  • Gym access at our London and Montreal offices
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