Digital Tagging and Implementation Analyst
6 days ago
Job Overview: The Digital Tagging and Implementation Analyst is responsible for developing and establishing tagging specifications and standards, as well as performing quality assurance on all analytics features related to client website and mobile app.
Key Responsibilities:
- Develop and maintain tagging specifications and standards.
- Perform QA on analytics features for client website and mobile app.
- Utilize strong knowledge of web analytics and tracking methodologies, particularly in eCommerce (tag management, pixel tracking, hit-level data analysis, customer behavior analysis).
- Hands-on experience with Tealium IQ, Tealium Event Stream, and Tealium Audience Stream.
- Expertise in digital product analytics taxonomy, governance, and data hygiene/quality/controls.
- Proficient in scripting and automation tools related to analytics, dashboarding, ETL, and report automation.
- Ensure compliance with GDPR, CCPA, Cookie Consent, and Tealium Consent Privacy Framework.
- Experience with front-end web development languages: HTML, CSS, JavaScript.
- Document use cases, business requirements, functional updates, technical specifications, and solution diagrams.
- Familiarity with customer data, personalization, and customer engagement metrics from digital marketing channels.
- Testing experience with Launch Darkly, Adobe Target, and Optimizely (both client and server-side testing tools).
- Platform experience with Tag Management (TealiumIQ, Tealium Event Stream, Tealium Audience Stream), Adobe Analytics, Google Analytics, Adobe Target, Tableau, JIRA/Confluence.
Qualifications:
- Proven analytical and problem-solving skills related to tagging implementations using Tealium GTM and Adobe Launch.
- 8+ years of direct experience in lead tagging implementation.
- Strong knowledge of system testing best practices and methodologies.
- Extensive experience with core software applications.
- Hands-on experience with ad hoc query programs, automated testing tools, and reporting software.
- Experience with statistical reporting and analysis.
- Good project management skills and/or substantial exposure to project-based work structures.
- Proficiency with communication tools like MS-Word, MS-Excel, MS-PowerPoint.
- Comfortable with test planning and tracking tools.
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