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Product Data Analyst

Arpeely·Israel·en
Sin especificarTiempo completoProduct AnalyticsAdTechConsumer Software

Own end-to-end product analytics for a growing consumer AI browser, using behavioral data and experimentation to guide product decisions across desktop and mobile.

Responsabilidades

  • Analyze the consumer funnel across acquisition, installation, onboarding, activation, engagement, retention, and monetization
  • Identify user drop-offs, investigate causes, quantify opportunities, and recommend product improvements
  • Own experiments from opportunity selection and metric definition through analysis and recommendations
  • Investigate large-scale behavioral data to find patterns, diagnose issues, and uncover opportunities
  • Define product metrics and ensure new features are measured appropriately
  • Partner with product teams and leadership on product strategy and prioritization
  • Use AI tools to accelerate analysis, automate repetitive work, and build lightweight solutions
  • Develop analytical frameworks and self-service capabilities for teams

Requisitos

  • At least 3 years of experience as a Product Analyst or Data Analyst in a fast-paced product environment
  • Excellent SQL and analytical skills, including independent work with large, complex datasets
  • Strong knowledge of A/B test design, evaluation, statistical principles, and practical pitfalls
  • Product thinking and ability to connect findings to user and business outcomes
  • Technical curiosity and ability to collaborate with engineers on data, instrumentation, experiments, and product questions
  • Regular use of modern AI tools to improve analytical work
  • High ownership and ability to independently identify and investigate important questions
  • Ability to communicate complex analysis clearly

Se valora

  • Experience with consumer products at scale, growth, retention, engagement, or subscription products
  • Experience analyzing products across desktop and mobile
  • Python or other programming experience for analysis and automation
  • Experience building analytical frameworks, data models, or internal analytical tools

Compatibilidad

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