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