Product Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Analyst (Data Platform): Building and optimizing analytical frameworks for a fintech data platform with an accent on AI observability, funnel analysis, and metric definition. Focus on synthesizing data into actionable recommendations and ensuring high-trust outputs from complex data environments.
Location: Hybrid (must work 3 days a week in the Toronto office)
Salary: $110,000 – $120,000 CAD per year
Company
is a leading global fintech company providing audit and accounting software to over 500,000 users across 130 countries.
What you will do
- Own end-to-end product analytics across the full data stack, from pipeline work in Microsoft Fabric/Delta Lake to insight delivery.
- Conduct deep AI trace analysis using Langfuse and observability tooling to surface patterns in model behavior and user interaction.
- Build and manage funnel analysis across the customer lifecycle, identifying drop-off points and quantifying the impact of product changes.
- Define, track, and report on core product and revenue metrics including NPS, ARR per user, and feature adoption rates.
- Develop scalable dashboards and reporting in Power BI to unify data across systems for the entire organization.
- Partner with Product Managers to validate hypotheses, run experiments, and measure feature performance with statistical rigor.
Requirements
- 3+ years of experience in product, business, or data analytics within a SaaS or technology environment.
- Solid proficiency in SQL and Python for data wrangling, querying, and working with APIs.
- Hands-on experience with data lakehouse platforms such as Microsoft Fabric, Databricks, or Snowflake.
- Experience with BI tools (Power BI preferred) and product analytics platforms like Pendo, Amplitude, or Mixpanel.
- Proven ability to build funnel analyses, cohort studies, and retention models.
- Must be based in or able to work from the Toronto office 3 days a week.
Nice to have
- Familiarity with AI observability tools such as Langfuse.
- Strong data storytelling skills to translate complex analysis for non-technical audiences.
- Habitual use of AI tools to accelerate analysis and pressure-test logic.
Culture & Benefits
- Collaborative and inclusive team culture focused on knowledge sharing.
- Work-life balance with flexible work options and generous time-off policies.
- Competitive compensation including health insurance and retirement plans.
- Opportunity to work with cutting-edge technology in accounting and financial reporting.
- Exposure to international projects and a diverse global team.
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