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.