Spain•Cyprus•United Kingdom•Poland•Estonia
Remote
Senior
Full Time
SeniorProduct Data AnalystFinTechRemoteEU
Requirements
- •Proven track record of managing competing priorities from multiple demanding stakeholders and ability to say no and push back when needed.
- •Strong communication skills to structure ambiguity and explain reasoning clearly to product, engineering, and business partners.
- •Fluency in SQL and comfortable prototyping analysis in Python or notebooks.
- •Bachelor's or Master's degree in a natural science, mathematics, or another highly quantitative field.
- •Solid conceptual command of statistics and experimentation.
- •Ability to bootstrap a data culture from a blank slate, adapt quickly in a fast-moving environment, and bring order to undocumented systems.
What You'll Do
- •Be the analytical lead embedded across the four product teams in the Growth & Activation stream, partnering closely with PMs to make their decisions faster, smarter, and measurable.
- •Translate product hypotheses and business problems into clear, measurable analytical questions and scalable models.
- •Design, instrument, and evaluate experiments and A/B tests alongside PMs and Engineers to assess product changes in real business terms such as activation, retention, engagement, or revenue.
- •Monitor product performance, funnel dynamics, and behavioral cohorts to surface early signals of impact, degradation, or new opportunity and proactively challenge assumptions through opportunity sizing and trade-off analysis.
- •Build decisioning frameworks including scoring systems, rules, predictive or optimization models that shape product logic and strategy, prototyping in SQL, Python, or notebooks before partnering with Data Science to productionize.
- •Define and maintain success metrics and driver trees for the product area, aligned with company-wide metric architecture, and automate dashboards for ongoing KPI and experiment visibility.
- •Apply statistical and causal methods (e.g., Bayesian estimation, difference-in-differences, synthetic control, uplift modeling) when clean randomization isn't possible.
- •Collaborate across functions such as Data Science, Growth, Marketing Analytics, Finance, and Engineering on shared models and KPIs like LTV, CAC payback, and pricing elasticity, and contribute to company-wide frameworks for activation, retention, and monetization.
Nice to Have
- •Experience in high-growth FinTech or industries with high-frequency, mobile-first metrics such as gaming/gamedev, digital advertising, or e-commerce.
- •Background in banking, finance, or credit/risk analytics.
- •Some leadership or mentoring experience.
- •Hands-on experience with causal inference, event-path analysis, or ML-based clustering in a product context.
Benefits
- •Make a genuine impact on the product with continuous personal and professional development.
- •Flexibility of traveling and working remotely or in a hybrid model across Europe.
- •Stock Options Program available to all team members.
- •Supportive, modern, friendly, and eco-conscious corporate culture.
- •Work & Swim program: spend one month in a corporate apartment in Cyprus for work-life balance with Mediterranean views.
About Finom
Finom provides an online payment solution that integrates business accounts, invoicing, and accounting.
Amsterdam, Netherlands
500 - 1000
Finance