Senior Product Data Analyst Full Time

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.

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 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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.