Product Analyst managing investment product strategy and development at RBC. Collaborating with internal teams on innovative projects and market analysis.
About the role
- Product Analyst supporting data-driven product decisions and optimizing performance across payment platforms at a growing fintech in Amsterdam. Collaborating with product managers to enhance user experiences and define KPIs.
Responsibilities
- Work closely with product managers to define KPIs, set success metrics, and track performance across digital payment features
- Conduct detailed analyses on user behaviour, conversion funnels, transaction data, and feature adoption
- Deliver actionable insights to shape product roadmap and enhance user experience
- Partner with engineering and data teams to build dashboards, reports, and data pipelines
- Help identify growth opportunities, friction points, and areas for optimisation within the payment ecosystem
- Contribute to A/B testing strategies and experiment tracking to inform product iterations
- Translate complex data into clear, compelling stories for internal stakeholders
Requirements
- 2+ years of experience in a data or product analytics role, ideally within fintech, banking, or payments
- Strong proficiency in SQL and experience with analytics tools (e.g. Looker, Tableau, Power BI)
- Familiarity with product experimentation, A/B testing, and statistical analysis
- Experience working with large datasets and data models related to transaction flows or financial systems
- Clear communicator with the ability to influence product direction through data
- Bonus: Experience working in regulated financial environments or familiarity with Open Banking, SEPA, or card network dynamics
Benefits
- Competitive salary: €60,000 – €75,000 depending on experience
- Hybrid work model (2–3 days/week in Amsterdam HQ)
- Opportunity to shape one of Europe’s most innovative fintech platforms
- Budget for learning, development, and career progression
- Work in a diverse, collaborative environment alongside top product, data, and engineering talent
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