Experience Level 7 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 67 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.
