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 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