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Analytics / Tag Management Developer

Job

SCIGON

Mettawa, IL (In Person)

$95,000 Salary, Full-Time

Posted 6 days ago (Updated 4 days ago) • Actively hiring

Expires 8/1/2026

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Job Description

Analytics / Tag Management Developer SCIGON Mettawa, IL Job Details Full-time $90,000 - $100,000 a year 1 day ago Benefits Profit sharing Paid holidays Health insurance Dental insurance 401(k) Vision insurance Qualifications Data compliance Data privacy management Bug Tracking (Quality assurance practices) Engineering development testing Data validation techniques Data quality assurance Bug Reporting (Quality assurance practices) Technical solutions implementation Release management Data quality monitoring JSON Defect tracking tools Business requirements Data analytics tools Developer tools Debugging Cross-functional communication Test Planning (Quality assurance practices) Full Job Description a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Analytics /
Tag Management Developer Salary:
$90,000-$100,000 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 data‑collection implementations across a portfolio of digital experiences. This role owns data‑layer architecture, tagging systems (primarily Adobe Launch + Adobe Analytics, with GA4/GTM as needed), and collaborates closely with engineering teams to ensure accurate, privacy‑compliant 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 data‑layer 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 test‑management processes.
Governance:
Maintain tagging standards, documentation, release notes, and act as the primary owner for analytics tagging and UAT approvals. Cross‑
Team Collaboration:
Work closely with front‑end/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 tag‑management solutions using Adobe Launch + Adobe Analytics or similar (GA4/GTM with willingness to learn Adobe). Strong understanding of data‑layer design (JSON/objects), event schemas, and mapping to analytics dimensions/metrics. Skilled with browser developer tools, debugging beacons, and validating analytics flow end‑to‑end. Experience with enterprise CMS platforms (e.g., AEM) for script governance and release/change control. Hands‑on QA experience, including test planning and defect tracking in Azure DevOps or similar tools. Effective cross‑functional communication; ability to translate requirements between technical and non‑technical teams. Working knowledge of privacy, consent, and data‑governance practices. Preferred Qualifications Experience with GA4/GTM, including server‑side tagging, and maintaining SDRs or analytics playbooks. Familiarity with enterprise component libraries/design systems and their impact on data‑layer 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.