Analyst, Advanced Analytics (Fixed Term Contract)

Fairstone BankMontreal, QC
CA$60,000 - CA$75,000Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Experience in AI is a plus

Responsibilities

  • 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
  • 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
  • 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
  • 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

Benefits

  • Flexibility with our hybrid work model
  • Gym access at our London and Montreal offices
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