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
- 36 years of hands-on digital analytics implementation experience, with at least
23 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 
