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Finom

Product Analytics Chapter Lead

Finom

. Work with product managers and stakeholders in the Growth & Activation product stream .

Posted 10/12/2026full-timeRemote • Cyprus, United Kingdom, Poland, Estonia, Spain, GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in product analytics, including end-to-end experience in defining metrics, designing experiments, and building testing infrastructure. Proficient in SQL and Python, with a proactive approach to problem identification and stakeholder collaboration.

Highest-signal resume keywords
Product Analytics ExperienceFluent in SQLConfident in PythonExperimentation and Causal MethodsStakeholder Partnership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product AnalyticsSQLPythonExperiment DesignMetrics DefinitionAutomation of WorkflowsTesting InfrastructureCausal MethodsAI ToolsProblem Structuring
Soft Skills
Proactive Problem IdentificationCommunication with StakeholdersReasoning Explanation
Industry Keywords
Growth & ActivationB2BLong Sales CyclesLow Conversion Volumes

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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