Digital Analytics Engineer – Instrumentation and Tagging
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Roles & Responsibilities
- Implement and maintain solutions for collecting and managing digital and marketing clickstream data, focusing on hands‑on development and integration with strong front‑end technologies, data tagging, and automation.
- 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 (HTML, CSS) and client‑side programming languages (JavaScript, iOS, Android).
- Official Adobe Analytics Expert Developer Certification and Tealium EventStream iQ Tag Management Certification required.
- Knowledge of at least one or more web/digital analytics tools (Adobe Analytics, Google Analytics) and tag management systems (Tealium, Ensighten, Adobe Launch, Google Tag Manager) with 2+ years of practical implementation experience.
- Basic SQL skills for data troubleshooting.
- Proficiency in Presto, SQL, Tableau, or Power BI for data analysis and visualization.
- Familiarity with Agile methodologies and SDLC best practices.
- Additional certifications (e.g., Tealium EventStream API Hub, Adobe Customer Journey Analytics Developer Expert) are advantageous.
Salary Range: $110,000 – $120,000 a year
Employment Type: Full‑time
Seniority Level: Mid‑Senior level
Job Function: Engineering and Information Technology
Industries: IT Services and IT Consulting
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