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Google Analytics Developer

Exclusive opportunity

Onsite

Google Analytics Developer

Aloola

Google Analytics Developer

Skills

Mobile DevelopmentTesting & QAGoogle BigQueryData AnalysisWeb AnalyticsGoogle Tag ManagerGoogle AnalyticsJavascript

2 years ago

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Important information


Contract type:

Permanent

Location:

Surat, Gujarat, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Hands-on experience in implementing Google Analytics 4 and integrating data with BigQuery

  • responsible for implementing and managing Google Analytics 4, BigQuery, and Google Tag Manager across various platforms

  • The ideal candidate will be well-versed in web analytics, testing, and optimization, and will possess strong problem-solving abilities to ensure the seamless operation of our analytics platforms

  • This role will involve working with cross-functional teams and stakeholders to deliver accurate insights and maintain the performance of our reporting tools

Must-Have Skills: Google Analytics 4, BigQuery, Google Tag Manager

Key Requirements:

  • Hands-on experience in implementing Google Analytics 4 and integrating data with BigQuery.
  • Strong understanding of attribution models, web analytics, and optimization techniques.
  • Skilled in testing, quality assurance, and troubleshooting across websites, mobile applications, and tracking tags.
  • Knowledge of modern web technologies, JavaScript, and best practices for analytics implementation.
  • Ability to guide developers and enforce implementation standards.
  • Proven ability to work on large-scale Google Analytics projects in a dynamic, fast-paced environment.

Soft Skills Required:

  • Excellent written and verbal communication skills.
  • Strong multi-tasking abilities and a dynamic, cross-functional work approach.
  • Positive, solution-oriented attitude with a passion for learning.
  • Strong project management skills.

We are looking for a Google Analytics Developer to join our growing engineering team. The role will involve working closely with a cross-functional team, including engineering, marketing, and business leaders, to deliver high-quality data solutions and insights.

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