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Senior Analytics Support Engineer - Google Tag Manager

Senior Analytics Support Engineer - Google Tag Manager

Sheryl strategic solutions Pvt. LTD.Bangalore
3 days ago
Job description

Role : Senior Analytics Support Engineer.

Location : Bangalore, India (Hybrid, 2 Days onsite / week).

Duration : 3 months contract to hire.

Job Description : About the Role :

We are looking for a skilled and detail-oriented Analytics Support Engineer to join our team.

The ideal candidate will bring hands-on expertise in Google Analytics 4 (GA4), Google Tag Manager (GTM), Looker, and Tableau, along with solid technical knowledge in Python, SQL, and AWS infrastructure.

You will play a critical role in managing analytics implementations, data pipelines, and reporting solutions to empower business decisions with accurate, actionable insights.

Key Responsibilities :

  • Implement and maintain tracking solutions using GA4 and Google Tag Manager.
  • Develop, manage, and optimize data visualizations and dashboards in Looker and Tableau.
  • Write efficient SQL queries for data extraction, transformation, and validation.
  • Collaborate with cross-functional teams to troubleshoot data issues and ensure data accuracy and integrity.
  • Build and maintain Python scripts for data automation, analysis, and reporting.
  • Support data pipelines and ETL processes in AWS environments (e.g., S3, Lambda, Redshift).
  • Monitor analytics configurations, tag deployments, and conversion tracking to ensure reliable data flow.
  • Provide documentation, training, and support to stakeholders on analytics tools and reporting platforms.

Required Skills & Qualifications :

  • Bachelors degree in Computer Science, Data Analytics, or a related discipline.
  • 5+ years of experience in analytics or data engineering / support roles.
  • Proven experience with Google Analytics 4 (GA4) and Google Tag Manager (GTM).
  • Strong command of Looker and / or Tableau for building advanced dashboards and visualizations.
  • Proficiency in Python and SQL for data manipulation and automation.
  • Experience working within AWS infrastructure (e.g., S3, EC2, Lambda, Redshift).
  • Deep understanding of data governance, tracking architecture, and web analytics best practices.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Preferred Skills :

  • Familiarity with BigQuery, redshift , or other cloud data warehouses.
  • Experience integrating marketing and product analytics tools.
  • Understanding of APIs and data ingestion frameworks.
  • (ref : hirist.tech)

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