Analytics Consultant

Job Title:Sr. Analytics Support Engineer

Location: Hybrid in Bangalore office Helios Business Park, Kadubeesanahalli, Bengaluru 560103, India (Offshore)

Duration: Contract

Job Description:

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

Bachelor's 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.