Role Overview
The Adobe Analytics Implementation Specialist will be responsible for hands-on instrumentation, implementation, and data quality across a large portfolio of web, mobile, and CTV/OTT products, working closely with the Senior Director of Analytics and cross-functional stakeholders. The role focuses on turning analytics architecture and measurement strategy into robust, scalable tracking that powers revenue analytics,audience insights, and streaming/media measurement at scale.
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 architectur 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 
