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 6–7 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