As a Senior Product Data Analyst, you will drive insights and data analysis for the Omni product team, enhancing hotel booking infrastructure through experimentation and deep funnel analysis.
Product Data Analyst
📜 Description
- Serve as the analytical lead across the Growth & Activation product teams, collaborating closely with Product Managers.
- Translate product hypotheses into measurable analytical questions and scalable models.
- Design and evaluate experiments and A/B tests to assess product changes in terms of activation, retention, and revenue.
- Monitor product performance and behavioral cohorts to identify early signals of impact and opportunities.
- Build decisioning frameworks that shape product logic and strategy, prototyping in SQL and Python.
🛠️ Requirements
- Experience in high-growth FinTech, or in 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.
- Opportunities for continuous personal and professional development.
- Flexibility to work remotely or in a hybrid model across Europe.
- Participation in the Stock Options Program.
- Supportive and eco-conscious corporate culture.
- Exclusive Work & Swim Program in Cyprus for work-life balance.
Full job description
About the Role
At Finom, product decisions are made fast — and we want them made well. As our Senior Product Analyst for Growth & Activation, you'll be the analytical engine behind the squads shaping how new customers discover, adopt, and grow with our product.
You'll sit embedded inside the Growth & Activation product stream, working shoulder-to-shoulder with Product Managers and cross-functional squads, while reporting functionally to the Head of Product Analytics to keep our metrics rigorous and consistent. Your job is to turn data into insight, hypotheses into experiments, and outcomes into learnings that genuinely move the roadmap.
This is a builder's role. The data foundations are there, but the metric system around them is yours to design and document. If you've ever wanted a blank canvas to build an analytical setup the way it should be built — without layers of bureaucracy slowing you down — this is that opportunity.
What You Will Be Doing
- 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, so every product change can be assessed in real business terms — 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 — from scoring systems and rules to predictive or optimization models — that directly 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 your product area, aligned with our 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 — Data Science, Growth, Marketing Analytics, Finance, and Engineering — on shared models and KPIs such as LTV, CAC payback, and pricing elasticity, and contribute to company-wide frameworks for activation, retention, and monetization.
Who You Are
Nice to Have
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