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Senior Software Engineer - Frontend - Growth Insights

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

🔍 Industry: Software Development

🏢 Company: Kraken👥 1001-5000💰 Secondary Market over 1 year ago🫂 Last layoff 7 months agoEthereumBlockchainBitcoinFinTechTrading Platform

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: Frontend DevelopmentReact.jsReact NativeTypeScriptGoogle AnalyticsData analyticsA/B testing

Requirements:
  • 5+ years of experience in frontend development with strong expertise in React.js (web or React Native) and TypeScript
  • Deep understanding of web and mobile tracking technologies and analytics platforms, such as Google Tag Manager, Google Analytics, Segment, Mixpanel, and AppsFlyer
  • Proven ability to audit, troubleshoot, and resolve data discrepancies in complex tracking systems
  • Experience working across multiple teams and codebases to implement consistent tracking strategies
Responsibilities:
  • Develop and maintain shared libraries and best practices for event tracking across multiple codebases, ensuring consistency, reducing duplication, and enabling high-quality data collection across Kraken’s frontend platforms
  • Ensure data quality and consistency by building robust validation, monitoring, and alerting systems that detect and prevent data issues proactively
  • Document and evangelize best practices for analytics implementation, creating a clear and accessible knowledge base for engineers and analysts
  • Collaborate with Data Engineering and Analytics to ensure event data is aligned with our source of truth and supports reliable decision-making
  • Continuously optimize our MarTech stack, evaluating and integrating tools that enhance tracking, attribution, and customer insights
  • Improve event and attribution modeling, enabling more accurate insights into user journeys, marketing performance, and product engagement
  • Map and refine event data flows to reduce redundancy and improve efficiency, transparency, and cost-effectiveness across our analytics architecture
  • Support experimentation infrastructure, helping teams design and implement A/B testing frameworks as needed
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