Position Details: Engineer-Digital : Adobe Analytics
Listed on 2026-08-15
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IT/Tech
Data Analyst, Web Developer
Digital Analytics Engineer – Instrumentation and Tagging
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.
Collaborate with software developers, product managers, UI designers, and data scientists to develop consumer tracking and analytics solutions across all digital channels.
Troubleshoot and resolve technical and engineering issues related to the setup and configuration of analytics tools and reports.
Define appropriate data models and implement instrumentation for collecting and analyzing analytics data.
Create documentation for tools and libraries within the analytics platform.
Promote repeatable best practices that empower software engineers to independently implement analytics solutions.
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 Event Stream iQ Tag Management Certification required.
- 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.
- Proficiency in Presto, SQL, Tableau, or Power BI for data analysis and visualization.
- Familiarity with Agile methodologies and software development lifecycle (SDLC) best practices.
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