Lead Data Analyst (Product Growth)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead Data Analyst (Product Growth): Driving customer acquisition, engagement, and retention through sophisticated product analysis and storytelling with an accent on A/B experimentation and financial modeling. Focus on architecting analytical frameworks, investigating root causes of metric shifts, and connecting product outcomes to LTV and revenue.
Location: Hybrid in Toronto, Ontario, Canada
Salary: $128,500 - $154,200 CAD
Company
A marketing automation platform empowering small businesses, entrepreneurs, and non-profits to grow and succeed online.
What you will do
- Partner with the General Manager to lead data initiatives across Product, Engineering, and Marketing.
- Conduct deep-dive investigations into metric shifts to identify technical bugs, UX friction, or trust barriers.
- Design and standardize analytical frameworks for evaluating product growth and user behavior.
- Lead the full experimentation lifecycle, including power analysis, hypothesis design, and causal inference.
- Collaborate with FP&A to link product outcomes to revenue, LTV, and segment-level P&L impact.
- Mentor other analysts in high-signal data storytelling and AI-enhanced workflows.
Requirements
- Must be based in or able to work from Toronto, Ontario, Canada (Hybrid model)
- 6-8+ years of experience in Product Growth, Marketing Analytics, or Data Science, preferably in SaaS.
- Expert-level SQL and proficiency with Product Analytics tools such as GA4 or Amplitude.
- Deep experience with A/B testing tools (Optimizely, Statsig) and statistical measures (p-values, confidence intervals).
- Ability to leverage modern AI tools (e.g., Cursor, Claude Code) to accelerate data execution.
- Proficiency with Python and dashboarding tools like Tableau or Power BI.
Culture & Benefits
- Hybrid work model combining remote flexibility with in-person collaboration in office locations.
- Culture of diversity and inclusion with dedicated educational programs.
- Generous paid time off policy.
- Competitive health and welfare benefits package.
- Support for professional development through coaching and stretch assignments.
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