Adobe Analytics Implementation Specialist.

Core responsibilities

• Translate measurement frameworks and solution designs from the Senior Director of Analytics into detailed tracking requirements, data layer specifications, and implementation plans across news sites, mobile apps, and CTV/OTT platforms.
• Configure and maintain Adobe Analytics implementations, including report suites, eVars, props, events, classifications, processing rules, and streaming media tracking for web, mobile, and CTV/OTT environments.
• Implement and maintain Adobe Launch tagging for websites and apps, including rules, data elements, extensions, and custom JavaScript where needed to support advanced use cases and integrations.
• Implement, maintain, and troubleshoot heartbeat-based media tracking for video and audio experiences, ensuring accurate measurement of starts, quartiles, completion, and time spent across platforms.
• Support and extend the existing cross-channel data schema and data layer strategy, ensuring consistent event and context data structures that work across web, iOS/Android apps, and CTV/OTT platforms such as Roku, Apple TV, and Fire TV.
• Assist with the integration and validation of third-party measurement tools (e.g., Nielsen, Comscore, ad servers, SSPs) into the analytics implementation, ensuring harmonized IDs and taxonomies where data is imported into analytics or downstream systems.
• Collaborate with engineering, product, ad ops, and editorial teams to ensure new features, templates, and ad experiences are properly instrumented for both audience and revenue analysis.
• Conduct rigorous QA of data collection in lower and production environments using network debuggers, logging, and analytics validation tools; raise issues, propose fixes, and verify resolutions.

• Implement and maintain efficient, scalable monitoring and tracking scripts for user behavior and interactions.
• Implement, integrate, and optimize third-party analytics frameworks and tools within our analytics architecture.
• Perform extensive testing and validation of analytics implementations across multiple tools, parameters, environments, and configurations.
• Monitor ongoing data quality, identify anomalies, and work with data engineering and operations teams where necessary to reconcile front-end tracking with backend data pipelines and data warehouse views.
• Contribute implementation details for documentation, runbooks, and technical specifications to keep architecture, schemas, and tag configurations transparent and maintainable.
• Provide second-line support to business and analytics stakeholders by validating that KPIs, dashboards, and revenue analytics views are correctly populated by the underlying implementation.
• Participate in agile ceremonies as the owner of analytics tracking tasks, ensuring that measurement requirements are captured in tickets, prioritized, and delivered.

Required experience and skills

• 3-6 years of hands-on digital analytics implementation experience, with at least 2-3 years working deeply with Adobe Analytics and Adobe Launch in production environments.
• Direct experience implementing and supporting heartbeat-based media tracking (e.g., for streaming/long-form video), including debugging beacons and validating media analytics against expected behavior.
• Strong practical experience implementing analytics across multiple digital surfaces (web, mobile apps; CTV/OTT exposure is a strong plus), preferably in high-traffic media, publishing, or streaming contexts.
• Proficiency with JavaScript and front-end development concepts, including DOM events, SPA routing, and use of browser developer tools and network inspectors for debugging.
• Demonstrated experience working with standardized data layers / event schemas used across many properties, including mapping business requirements to variables, events, and context data.
• Experience integrating and validating third-party measurement and ad-tech tools, including audience measurement, ad recovery, retail media, and monetization platforms.
• Working knowledge of server-side and client-side request inspection tools (e.g., proxy tools, request logging, payload analysis) to diagnose tracking and data transmission issues.
• Familiarity with integrating web analytics with advertising and revenue data, such as importing ad impressions, revenue, and yield metrics into analytics tools for page-level or content-level performance analysis.
• Familiarity with mapping or reconciling GA and Adobe Analytics data models, including differences in events, sessions, and attribution logic.
• Experience supporting parallel or comparative analytics implementations across Adobe Analytics and Google Analytics environments.
• Experience working within modern tag management practices, CI/CD processes, and agile development environments alongside engineers, QA, and product owners.
• Ability to read and contribute to implementation documentation and architecture diagrams, and to clearly communicate technical trade-offs and limitations to both technical and non-technical stakeholders.
• Strong analytical mindset and attention to detail, with a focus on data accuracy, reproducibility, and maintainability.

Preferred / nice-to-have

• Experience working with Chartbeat and Comscore for audience and engagement measurement, and understanding how their signals relate to web and streaming analytics.
• Experience with content management systems and front-end stacks commonly used in media, such as Adobe Experience Manager and WordPress.
• Familiarity with Looker (or similar BI tools) as a consumer of analytics data, including how implementation choices impact downstream reporting models and dashboards.
• Experience working with BigQuery or similar data warehouses and familiarity with how front-end event data flows into downstream BI or modeling environments.
• Hands-on experience using analytics validation and debugging tools such as Adobe Experience Platform Debugger, Charles Proxy, browser developer tools, and network inspection utilities to verify data accuracy and troubleshoot issues.
• Experience using automation or scripting tools (e.g., Python, Node.js) to support testing, validation, scraping, or analytics verification workflows.
• Exposure to Segment or similar event collection frameworks, including mapping events from those systems into Adobe Experience Platform and Adobe Analytics.
• Background in news, broadcast, or digital media organizations where audience, engagement, and advertising KPIs are central to the business.

Shift Timings: US- Shift