Live opening · Posted 10 days ago

Personalization & Analytics Engineer ID89739

AgileEngine · Puerto San José, Escuintla, Guatemala (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyAgileEngine
LocationPuerto San José, Escuintla, Guatemala (Remote)
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
About The Role
We are looking for a Personalization & Analytics Engineer to implement A/B testing and personalization using Adobe Target. This person manages enterprise web tagging through Adobe Data Collection, builds data layers, and configures Customer Journey Analytics for cross-channel reporting. Strong JavaScript, HTML, and CSS skills support complex testing scenarios.
What You Will Do
Lead the technical development, QA, and deployment of A/B/n tests and personalization campaigns using Adobe Target.
Develop and maintain custom JavaScript, HTML, and CSS to manipulate DOM elements for complex testing scenarios.
Own and manage the enterprise web tagging architecture using Adobe Experience Platform Data Collection (formerly Adobe Launch) or Google Tag Manager.
Implement data layers and configure rules/extensions to ensure accurate behavioral tracking across web and mobile platforms.
Configure data connections and Data Views within Customer Journey Analytics (CJA) to enable deep, cross-channel reporting for the analytics team.
Debug and troubleshoot data collection issues, ensuring tracking integrity using network monitoring tools (e.g., Charles Proxy, browser dev tools).
Work collaboratively with marketing and UX teams to assess the technical feasibility of proposed experimentation strategies.
Maintain comprehensive documentation of tag management architecture, data layers, and active Target campaigns.
MUST HAVES
3+ years of hands-on experience in web analytics implementation and digital optimization.
Strong proficiency in front-end web technologies, specifically JavaScript (ES6+), HTML, and CSS.
Hands-on experience building and deploying tests in Adobe Target (VEC and Form-based experiences, Profile Scripts, Recommendations).
Solid, hands-on experience with Tag Management Systems, specifically Adobe Experience Platform Data Collection (Launch).
Working experience configuring and analyzing data within Customer Journey Analytics (CJA) or traditional Adobe Analytics (Omniture).
Solid understanding of digital data layers (W3C standards, event-driven data layers) and event tracking.
Excellent problem-solving skills and a meticulous approach to QA and data validation.
Upper-intermediate English level.
NICE TO HAVES
Familiarity with Single Page Application (SPA) tracking and modern JS frameworks (React, Angular, Vue).
Experience integrating Adobe Target with Adobe Analytics (A4T).
Understanding of the broader Adobe Experience Platform (AEP), RTCDP, or Edge Network implementations.
Experience with Server-Side tagging or edge computing setups.
Perks And Benefits
Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Work arrangement
No

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