Senior Digital Analytics Engineer


Location: United States
Employment type: Full-time


Cognetik is a full-service digital analytics agency specializing in generating business insights and recommendations from their clients' clickstream and offline data. Cognetik provides services to some of the largest enterprises in the world across the entire digital analytics landscape: digital analytics strategy, data collection engineering, data integration, funnel analysis, measurement plans, forecasting, regression, cluster analysis, marketing analytics and real-time personalization.

About the Senior Digital Analytics Engineer Role:

A senior digital analytics engineer designs data collection architecture and implements tools for user tracking, marketing automation, surveys, and more. Companies need user data and we get it for them. At Cognetik, our senior engineers have relative autonomy in the architectural approach. We review each other's code to ensure optimal efficiency, and we work with our internal QA engineers to ensure data accuracy. We work with our clients and our internal analysts to design data collection that enables insightful analysis.

* We accept remote work. No relocation needed! Cognetik's North America office is in Cary, NC. Our European office is in Oradea, Romania.

What are we looking for?

Extensive experience with digital analytics using Adobe Analytics, Google Analytics, WebTrends, CoreMetrics, or similar tool.
Extensive experience implementing tagging through a Tag Management System (Adobe DTM, Ensighten, Tealium, Signal, GTM, or similar tool).
Experience validating the quality of data collection individually or with a QA team.
Experience as a front end web developer utilizing HTML, CSS, and JavaScript.
Experience in software engineering principles, frameworks, technologies, and standards.
Excellent written and oral communication skills with the ability to present to a client's site and app developers, product managers, directors, and VPs of technology.

What will you do?

Gather business requirements, solve for data collection to satisfy them, document reporting capabilies enabled by these solutions, and discuss the solutions with business stakeholders.
Implement web analytics tagging solution designs via tag management systems and custom JavaScript.
Document QA processes and support QA efforts.
Collaborate with business stakeholders, analysts, and web developers to optimize reporting and analytics capabilities.
Communicate effectively and proactively with organization and clients throughout the project lifecycle.
Train clients' implementation engineers.

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