SeniorProductDataAnalyst

## 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. Requirements: 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. Benefits: 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 paren