Lead Analyst

1 month ago


Bengaluru, India CimpressVista Full time

Cimpress Technology Team is Hiring for GA4/GTM specialist for Ecommerce business

 

Job Description

We are actively seeking an adept Lead Analyst to join our E-Commerce Analytics team and own GA4 implementation using GTM. Applicant should have keen acumen for translating intricate business requisites into pragmatic tagging solutions. As a tagging owner, you will be responsible for tagging, testing, and documentation from end to end, necessitating adept communication skills in both written and verbal forms, as you engage with a diverse array of stakeholders including product managers, channel marketing leads, and the development team.

This position stands out due to its elevated visibility, acting as the driving force behind our marketing transformation initiatives. The role offers an immersive learning opportunity within a growing team.


 

Responsibilities:

  • Manage digital analytics implementations for comprehensive data tracking.
  • Develop and own implementation documents, addressing both technical and business perspectives.
  • Execute strategic tagging solutions in Google Tag Manager (GTM).
  • Experience with implementing advertising tools tags such as Google Ads, Facebook, etc
  • Conduct audits of existing tags, and create new tags, triggers, variables, and other elements.
  • Hands-on experience in developing SDRs, data layers, and implementing digital tagging strategies.
  • E-commerce tag analysis and implementation experience, covering at least one full life cycle.
  • Validate tags and ensure quality control using extensions.
  • Implement server-side Google Tag Manager for enhanced analytics capabilities.


 

Tools / Technologies Required:

  • GA4
  • GTM
  • PL-SQL
  • JavaScript for GTM


 

In return you will bring

  • 7+ years of industry experience in web analytics, marketing, and e-commerce domain
  • Minimum 4 years of experience in UA/GA4 implementation in Retail / E-Commerce domain
  • Expertise in analysis of large customer data and brings insights and value from it

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