Product Analytics Chapter Lead

🕒 October 12

🌐 Cyprus, United Kingdom, +4 more countries – Remote

🇨🇾 Cyprus – Remote 🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇪🇪 Estonia – Remote 🇪🇸 Spain – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Finom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.

📋 Description

• Work with product managers and stakeholders in the Growth & Activation product stream • Agree priorities and identify problems worth solving • Bring recommendations and surface opportunities to the business • Define activation, funnel, and product metrics and ensure consistent counting • Design experiments, including hypotheses, primary metrics, audience splits, durations, and result interpretation • Automate experimentation workflows • Build scalable testing infrastructure using external tools or internal solutions • Establish product analytics practices and experimentation standards from scratch

🎯 Requirements

• Product analytics experience end to end, with decisions that changed the roadmap • Fluent in SQL • Confident in Python • Solid knowledge of experimentation and causal methods • Experience choosing or building tooling for tests and metrics • Daily use of AI tools • Stakeholder partnership rather than ticket execution • Proactive approach to identifying problems and hypotheses • Ability to structure ambiguous problems and explain reasoning to product and business audiences • English at C1 or above • Nice to have: product analytics built from scratch • Nice to have: experience with low conversion volumes, including B2B, long sales cycles, or small samples

🏖️ Benefits

• Continuous personal and professional development resources and opportunities • Flexibility to travel and work remotely or in a hybrid model across Europe • Stock Options Program available to every team member • Constant support and care in a modern, friendly, and eco-conscious corporate culture • One month in a corporate apartment in Cyprus through the Work & Swim Program • Equal opportunity workplace

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