Analytics / Tag Management Developer

Remote • Posted 19 days ago • Updated 1 hour ago
Full Time
Remote
USD 93000-125000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • HTML
  • HTTP
  • Data Collection
  • Leadership
  • Reporting
  • Publishing
  • Workflow
  • Data Quality
  • Testing
  • Agile Testing
  • Release Notes
  • Acceptance Testing
  • Collaboration
  • Marketing
  • Data Engineering
  • Documentation
  • Management
  • Adobe Analytics
  • Adobe
  • JSON
  • Mapping
  • Dimensional Modeling
  • Web Browsers
  • Debugging
  • Adobe Experience Manager
  • Change Control
  • Quality Assurance
  • Test Plans
  • Defect Tracking
  • Microsoft Azure
  • DevOps
  • Communication
  • Privacy
  • Data Governance
  • Google Analytics (GA4)
  • Google Tag Manager (GTM)
  • SDRS
  • SQL
  • Analytics

Summary



Analytics / Tag Management Developer

Salary: $93,000-$125,000

Benefits include:

  • Paid vacation, holiday and sick time
  • Medical, dental, and vision insurance options
  • 401(k)/profit sharing

Role Overview

Seeking an Analytics / Tag Management Developer to lead web measurement and datacollection implementations across a portfolio of digital experiences. This role owns datalayer architecture, tagging systems (primarily Adobe Launch + Adobe Analytics, with GA4/GTM as needed), and collaborates closely with engineering teams to ensure accurate, privacycompliant analytics for marketing, product, and leadership reporting.



Responsibilities

  • Tag Management Ownership: Configure, deploy, and maintain tags within Adobe Launch (and GTM when used). Manage environments, publishing workflows, extensions, libraries, and coordinate script placement with CMS engineering teams.
  • Data Layer Development: Convert business requirements into scalable, reusable datalayer specifications; support standardization and versioning across shared component libraries.
  • Analytics Tracking Implementation: Build Adobe Analytics/GA4 tracking, map events/parameters, maintain SDRs, and validate data quality from browser through analytics endpoints.
  • Testing & QA: Create and execute tagging test plans across environments, manage UAT, log and track defects, and follow Agile testmanagement processes.
  • Governance: Maintain tagging standards, documentation, release notes, and act as the primary owner for analytics tagging and UAT approvals.
  • CrossTeam Collaboration: Work closely with frontend/CMS engineers, product teams, marketing, and data engineering to prioritize work and ensure analytics readiness for launches.
  • Monitoring & Reliability: Track tag and consent behavior, monitor performance of analytics payloads, and address regressions caused by component or site updates.
  • Documentation: Maintain implementation guides, analytics playbooks, and runbooks for repeatable use.



Required Qualifications

  • 3+ years of experience implementing analytics and tagmanagement solutions using Adobe Launch + Adobe Analytics or similar (GA4/GTM with willingness to learn Adobe).
  • Strong understanding of datalayer design (JSON/objects), event schemas, and mapping to analytics dimensions/metrics.
  • Skilled with browser developer tools, debugging beacons, and validating analytics flow endtoend.
  • Experience with enterprise CMS platforms (e.g., AEM) for script governance and release/change control.
  • Handson QA experience, including test planning and defect tracking in Azure DevOps or similar tools.
  • Effective crossfunctional communication; ability to translate requirements between technical and nontechnical teams.
  • Working knowledge of privacy, consent, and datagovernance practices.



Preferred Qualifications

  • Experience with GA4/GTM, including serverside tagging, and maintaining SDRs or analytics playbooks.
  • Familiarity with enterprise component libraries/design systems and their impact on datalayer strategy.
  • Experience with monitoring tools for tag health and analytics reliability (e.g., synthetic monitoring, observability platforms).
  • Basic SQL skills or ability to query analytics APIs for validation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10377716
  • Position Id: OOJ - 1777-778-1770903012
  • Posted 19 days ago
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