Adobe Analytics Tagging Expert

The role will work closely with marketing, product, and engineering teams to ensure accurate measurement frameworks, robust data collection, and actionable insights for decision making.

Skills Required

Core Skills

• Strong hands-on experience with Adobe Analytics
• Experience with Adobe Launch / Adobe Data Collection
• Understanding of Adobe Web SDK, Customer Journey Analytics (CJA)
• Strong understanding of tagging frameworks and data layer design
• Experience with JavaScript for analytics implementations
• Hands-on experience building Adobe Workspace reports and dashboards
• Strong knowledge of digital analytics concepts, attribution, and measurement frameworks

Technical Skills

• Strong experience on JavaScript
• Experience with browser developer tools and debugging utilities
• Knowledge of REST APIs and event-based tracking models
• Familiarity with data governance and tracking documentation
• Good to Have Adobe Analytics Certification

Preferred Qualifications

• 2.5 - 5 years of experience in Digital Analytics or Martech implementations
• Strong analytical thinking and problem-solving skills
• Ability to translate business requirements into technical measurement solutions
• Experience working in cross-functional teams (Marketing, Product, Engineering)

Key Responsibilities

• Design and implement Adobe Analytics tracking frameworks aligned with business KPIs and measurement strategies.
• Implement and manage tags using Adobe Launch / Adobe Data Collection.
• Understanding of Adobe Web SDK and event-based tracking.
• Define and maintain data layer architecture and tagging specifications.
• Work with developers to ensure correct JavaScript-based tracking implementation.
• Validate and troubleshoot tracking using debugging tools such as Adobe Experience Platform Debugger, browser dev tools, and network inspection.
• Ensure accurate event, eVar, prop, and conversion tracking across digital properties.
• Build dashboards, reports, and Workspace projects to provide actionable insights.
• Conduct data validation, QA, and governance for analytics implementations.
• Collaborate with stakeholders to define measurement strategies, attribution models, and KPIs.
• Analyze user behavior and campaign performance to support data-driven decision making.
• Maintain documentation for tracking plans, implementation guides, and tagging architecture.