Job Detail

Digital Analytics Engineer – Instrumentation and Tagging

Job Descriptions:

Job Description

Roles & Responsibilities

• To implement and maintain solutions for collecting and managing digital and marketing clickstream data. This role focuses on hands-on development and integration, requiring strong skills in front-end technologies, data tagging, and automation.
• The ideal candidate will have practical experience with digital data collection and third-party analytics platforms (e.g., Adobe Analytics, Google Analytics). They should be comfortable implementing tagging strategies, configuring tag management systems, and ensuring accurate data capture across web and mobile applications. Familiarity with scalable and efficient coding practices is essential to support enterprise-level digital analytics initiatives.

Job Responsibilities:

Required Qualifications

• 5+ years of front-end development experience, with functional knowledge of web technologies (e.g., HTML, CSS) and client-side programming languages (e.g., JavaScript, iOS, Android).
• Official Adobe Analytics Expert Developer Certification and Tealium EventStream iQ Tag Management Certification required.
• Additional certifications required for various digital analytics role, including but not limited to:
• Tealium EventStream API Hub Certification
• Adobe Customer Journey Analytics Developer Expert Certification
• 2+ years of practical implementation experience with one or more web/digital analytics tools (e.g., Adobe Analytics, Google Analytics) and tag management systems (e.g., Tealium, Ensighten, Adobe Launch, Google Tag Manager).
• Basic SQL skills for data troubleshooting.
• Adobe Customer Journey Analytics Developer Expert Certification
• 5+ years of practical implementation experience with one or more web/digital analytics tools (e.g., Adobe Analytics, Google Analytics) and tag management systems (e.g., Tealium, Ensighten, Adobe Launch, Google Tag Manager).
• Knowledge of HTML/CSS and front-end development best practices.
• Proficiency in Presto, SQL, Tableau, or Power BI for data analysis and visualization.
• Familiarity with Agile metho dologies and software development lifecycle (SDLC) best practices.

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