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Product Data Analyst

HybridEuropeArchived
Published
Role
Data Science
Experience
Senior
Employment
Full-time
Company size
Mid-size
Salary not disclosed
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Open to Europe. Set where you work from to check your eligibility.

No BS summary

Senior Product Data Analyst, 5+ yrs experience, must be based in Cyprus, Spain, UK, Poland, or Estonia. Proficient in SQL and Python, with a strong background in statistics and experimentation. Experience in FinTech or high-frequency metrics is a plus.

Required skills

SQLPythonA/B testingBayesian estimationdifference-in-differencessynthetic controluplift modeling

Optional skills

causal inferenceevent-path analysisML-based clustering

What you'll do

  • Serve as analytical lead across four product teams in the Growth & Activation stream
  • Partner with Product Managers to make decisions faster, smarter, and measurable
  • Translate product hypotheses and business problems into measurable analytical questions and scalable models
  • Design, instrument, and evaluate experiments and A/B tests with Product Managers and Engineers
  • Monitor product performance, funnel dynamics, and behavioral cohorts
  • Build decisioning frameworks including scoring systems, rules, predictive models, and optimization models
  • Prototype analytical models in SQL, Python, or notebooks before partnering with Data Science for productionization
  • Define and maintain success metrics and driver trees for the product area
  • Automate dashboards for KPI and experiment visibility
  • Apply statistical and causal methods when clean randomization is not possible
  • Collaborate with Data Science, Growth, Marketing Analytics, Finance, and Engineering on shared models and KPIs

What they require

  • Proven track record of managing competing priorities from multiple demanding stakeholders
  • Ability to communicate clearly with product, engineering, and business partners
  • Fluent in SQL and comfortable prototyping analysis in Python or notebooks
  • Bachelor's or Master's degree in 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
  • Ability to adapt quickly in a fast-moving environment and bring order to undocumented systems

Benefits

  • Remote or hybrid work across Europe
  • Stock Options Program
  • Continuous personal and professional development opportunities
  • Supportive and caring corporate culture
  • Work & Swim program with one month in a corporate apartment in Cyprus
  • Equal opportunity employer
🇳🇱 NetherlandsFinancial ServicesMid-size

Details

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Salary not disclosed