Senior Product Data Analyst
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Data Analyst based in Canada.
This is a high-impact, senior-level analytics role operating at the intersection of product strategy, decision science, and business performance.
You will act as a strategic partner to Product, Engineering, and business leadership, shaping key decisions through deep analytical insight.
The work focuses on complex trade-offs such as pricing, conversion, risk, and profitability across financial products.
Rather than simply answering questions, you will help define the right problems to solve and how to solve them.
Your insights will directly influence product direction, roadmap prioritization, and company-wide decision frameworks.
You will work in a fast-paced, data-driven environment where experimentation and rigorous analysis drive growth and efficiency.
This role offers high visibility and the opportunity to shape core financial product strategy at scale.
Accountabilities:
- Partner with Product, Engineering, Finance, and GTM teams to shape product strategy through data-driven insights and decision frameworks, translating complex business challenges into structured analytical approaches.
- Lead end-to-end analytical initiatives, from problem definition and modeling to recommendations and implementation, ensuring alignment with business objectives and measurable outcomes.
- Develop and apply analytical models to optimize trade-offs across pricing, risk, conversion, profitability, and customer experience.
- Design, execute, and evaluate experiments, including A/B testing and pricing/conversion optimization initiatives.
- Identify product opportunities, operational inefficiencies, and strategic insights from large-scale transactional and behavioral datasets.
- Present executive-ready insights and recommendations that influence roadmap decisions and strategic priorities.
- Strong experience in product analytics, decision science, or data science within a product-driven or fintech environment.
- Advanced SQL skills and strong ability to work with large-scale transactional or product datasets.
- Proficiency in Python for statistical analysis, experimentation, modeling, or data exploration.
- Experience designing experiments and building analytical frameworks that support product and business decisions.
- Ability to translate ambiguous business problems into structured analyses and actionable recommendations.
- Strong stakeholder management and communication skills, with the ability to influence senior Product and Engineering leaders.
- Experience with BI and data visualization tools such as Looker, Tableau, or similar platforms.
- Flexible work environment supporting autonomy and work-life balance.
- Competitive compensation with equity participation opportunities.
- Comprehensive health, dental, and wellness benefits.
- Pension/RRSP contributions to support long-term financial security.
- Flexible paid time off and supportive parental leave policies.
- Professional development and training opportunities to accelerate career growth.
- Wellness and health credits to support physical and mental well-being.
- Volunteer days and community engagement initiatives.
- Employee programs including social clubs, interest groups, and team activities.
- Equipment and home-office support programs to enhance remote work setup.
Requirements:
Benefits:
Analytics pay context
Based on 890 disclosed Analytics salaries on RoleSuite, the role pays a median of $122K/year, with most offers between $101K and $155K (10th–90th percentile: $85K–$195K).
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