Google Analytics(Immediate Joiners Only) - Hyderabad, India - Nisum

    Nisum
    Nisum Hyderabad, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

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    Description
    • 5+ years' experience in hands-on Adobe Analytics or Google Analytics implementation role, creating Adobe/Google Analytics implementations for web and mobile apps, including reporting and data feeds
    • 5+ years HTML, JavaScript, Web Service, and OOP experience and developing or supporting J2EE eCommerce web applications preferred
    • Debugging/Testing Analytics implementations on web and mobile apps with debugging tools like Charles Proxy, Fiddler, etc.
    • Strong troubleshooting skills with an ability to quickly diagnose complex production issues
    • Passionate about maintaining quality solutions and providing superior customer service
    • Innovative thinker with a passion to solve challenging problems.
    • Strong knowledge of eCommerce and web development practices, tools
    • Proven skills communicating across distributed teams and at various levels of an organization
    • Design and develop Adobe Analytics / Google Analytics solution and technical implementation documentation for web and app platforms
    • Assist Product and Marketing Teams in defining business critical KPIs for Web & Mobile analytics reporting
    • Ensure data accuracy with on-going QA, audits and data integrations across internal teams, multiple systems, technologies and external vendor tools and applications
    • Administer the Adobe Analytics product from top to bottom - variables, processing rules, classifications, marketing channels, data feeds, etc
    • Learn and advise on Adobe Analytics integration opportunities and best practices with other Adobe tools such as Adobe Target, Adobe Campaign Manager, Adobe Experience Manger, etc.
    • Good experience in optimal tagging, reporting and analytics capabilities.
    • Build and execute tagging test cases to ensure that the appropriate metrics are being collected by Adobe Analytics and fed into the enterprise data warehouse