Adobe/Google Analytics Tagging Developer
Job Summary
Job Description
The ideal candidate will collaborate with frontend and backend developers, along with analytics teams, to build measurement solutions for client platforms. This role involves managing analytics platforms (Adobe Analytics, Google Analytics) and tag management systems (Adobe Launch, Google Tag Manager) across various locations. Responsibilities include analyzing complex business requirements, creating technical specifications, and designing/redesigning software components. The role also includes acting as a technical expert for modeling and simulation, ensuring quality, security, and compliance, and adapting to an evolving environment. Proactively analyzing data, providing reports on web usage and user engagement, and assisting with dashboard development are also key aspects of the job.
Must have:
- Experience in web analytics tagging and measurement.
- Experience with Server Side Implementation of analytics tags.
- Experience with Adobe DTM/Launch/GTM Tag Management tools.
- Proficient in debugging network traffic.
- Create tagging specifications and validation documents.
- Understand the Adobe stack and Launch capabilities.
Good to have:
- Adobe Analytics Certification
- Technical resource with HTML, CSS, JavaScript skills.
- Good communication and analytical skills
9 skills required
Job Details
Position Overview:
The ideal candidate will have expertise in Collaborating with frontend developers, backend developers, and analytic teams to build solutions for the measurement of client platforms. This person will manage a variety of analytics (Adobe Analytics, Google Analytics) and tag management (Adobe Launch, Google Tag Manager) accounts across multiple geographies.
You have experience to assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team. Proactively initiate, research, and perform data analysis and provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns.
Job Responsibilities:
Analyze highly complex business requirements, generate technical specifications to design or redesign complex software components and applications.
Act as an expert technical resource for modeling, simulation and analysis efforts.
Leverage industry best practices to design, test, implement and support a solution.
Assure quality security and compliance requirements are met for supported area.
Be flexible and thrive in an evolving environment.
Adapt to change quickly and adjust work accordingly in a positive manner.
Basic Qualification:
Understanding of digital analytics, web analytics tagging and measurement techniques.
Experience with Server Side Implementation of analytics tags & Media pixel.
Experience with Adobe DTM/Launch/GTM Tag Management tools.
Adobe Launch Code tag deployment for new tags or updates.
Proficient in debugging network traffic using Fiddler, Charles or Chrome developer tools.
Test and validate deployment is performing as expected prior to and after a release.
Create tagging specifications and tagging validation documents.
Be able to analyze web traffic, click-tracking data and assist with reporting requests.
Understand the Adobe stack and well versed with Launch capabilities, when to use out of the box feature vs writing custom code.
Support Adobe Analytics dashboard development, reports, and analyses that provide insights as to customer digital channel experiences and support data-based storytelling.
Preferred Qualification:
Adobe Analytics Certification
Technical resource with HTML, CSS, JavaScript, JQuery and Javascript code-debugging skills
Good communication and analytical skills
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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About The Company
Here at ShyftLabs, we build data products to help enterprises deliver real impact through tailored data analytics, science, and AI solutions. From consulting to operations, we guide our customers through their data journey and ensure they are data and AI-empowered.
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