Senior Analytics Support Engineer
1 day ago
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.
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.
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