🛠 Tech Stack

💼 About This Role

You'll own a product domain analytically for a SaaS platform serving home service businesses. You'll partner with Product, Design, and GTM teams to drive experimentation and causal inference that shapes product decisions and user experience. This role is a high-impact individual contributor position within a collaborative analytics team.

🎯 What You'll Do

• Design and analyze A/B tests, handling low traffic and multiple concurrent changes.
• Apply causal inference methods where clean experimentation isn't feasible.
• Build customer segmentation and lifecycle models for product and GTM decisions.
• Partner with stakeholders to translate ambiguous questions into analytical plans.

📋 Requirements

• 5+ years of hands-on product analytics for a SaaS or marketplace product.
• End-to-end experimentation experience: test design, metric selection, results communication.
• Fluency with causal inference methods (diff-in-diff, regression discontinuity, synthetic controls).
• Strong analytical SQL including complex joins, window functions, and cohort analysis.

✨ Nice to Have

• Python analysis (pandas, statsmodels, scikit-learn).
• Bayesian methods or probabilistic modeling.
• Monte Carlo simulation or scenario modeling experience.

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work from Toronto office.
• 📈 Equity for all employees.
• 🏥 Extended health benefits.
• 📚 Learning budget for professional development.
• 🍕 Team lunches and social events.