[Hiring] Product Data Analyst @Finom

Role Description

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.

Qualifications

• A cross-functional operator with a proven track record of managing competing priorities from multiple demanding stakeholders.
• A strong communicator who can take ambiguity, structure it, and explain reasoning clearly to product, engineering, and business partners.
• Technically capable, fluent in SQL and comfortable prototyping analysis in Python or notebooks.
• Quantitatively grounded, holding a Bachelor's or Master's in a natural science, mathematics, or another highly quantitative field.
• A builder with a structural mindset, energized by bootstrapping a data culture from a blank slate.

Nice to Have

• 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.

What You Will Get In Return

• Make a genuine impact on the product and join our upward trajectory, with resources for continuous personal and professional development.
• Work in the EU with the flexibility of traveling and working remotely or in a hybrid model across Europe.
• Become a stock options holder through our Stock Options Program available to every team member.
• Receive unwavering support and care, reflecting our commitment to your well-being and success.
• Immerse yourself in our exclusive Work & Swim Program, spending one month in a comfortable corporate apartment in Cyprus.

Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

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.