Were looking for a skilled Analytics Support Engineer experienced in GA4, GTM, Looker, Tableau, SQL, Python, and AWS to manage analytics implementations, data pipelines, and reporting solutions that drive business insights.

Key Responsibilities :

- Implement and maintain tracking using Google Analytics 4 and Tag Manager.

- Develop and optimize Looker/Tableau dashboards and data visualizations.

- Build and maintain Python-based automation and ETL processes in AWS (S3, Lambda, Redshift).

- Write and tune SQL queries for data extraction, validation, and performance.

- Collaborate across teams to ensure data accuracy, governance, and quality.

Requirements :

- 5+ years in analytics or data engineering/support roles.

- Hands-on with GA4, GTM, SQL, Python, AWS, and BI tools (Looker/Tableau).

- Strong analytical, troubleshooting, and communication skills.

We are seeking a highly skilled Senior Analytics Support Engineer to join our data and analytics team. In this role, you will play a key part in ensuring the accuracy, reliability, and scalability of our analytics infrastructure across web and data platforms.

You will implement and manage Google Analytics 4 (GA4) and Google Tag Manager (GTM) tracking, develop Looker/Tableau dashboards, and maintain ETL and automation pipelines using Python and AWS. This position is ideal for someone who thrives at the intersection of analytics, data engineering, and business intelligencewith strong problem-solving skills and a passion for clean, trustworthy data.

Key Responsibilities :

- Implement and manage Google Analytics 4 (GA4) and Google Tag Manager (GTM) tracking across websites and mobile applications.

- Design, test, and deploy event tracking, custom dimensions, and e-commerce measurement tags.

- Collaborate with developers and marketing teams to ensure tracking accuracy and proper data flow to analytics platforms.

- Audit, troubleshoot, and validate GA4 implementations to maintain consistent data integrity.

- Design and build Looker and Tableau dashboards that provide actionable business insights.

- Translate raw data into intuitive visualizations and KPIs aligned with business goals.

- Collaborate with stakeholders to define dashboard requirements, performance metrics, and data storytelling needs.

- Optimize dashboards for speed, scalability, and self-service analytics.

- Develop and maintain ETL pipelines and automation scripts using Python within AWS environments (S3, Lambda, Redshift).

- Ensure efficient data ingestion, transformation, and validation from multiple sources.

- Monitor job performance, troubleshoot failures, and proactively optimize pipeline efficiency.

- Implement logging, error handling, and alerting mechanisms for production-grade data systems.

- Write complex SQL queries for data extraction, validation, and aggregation from data warehouses (e.g., Redshift, BigQuery, Snowflake).

- Use EXPLAIN plans and query tuning techniques to optimize performance and reduce latency.

- Support data analysts and business users by ensuring data accessibility and accuracy across systems.

- Collaborate cross-functionally with analytics, engineering, and business teams to uphold data governance and quality standards.

- Implement data validation frameworks and conduct audits to ensure consistent, clean data.

- Document workflows, data dictionaries, and tracking schemas for transparency and maintainability.

- Support internal users with technical troubleshooting, access requests, and analytics tool configurations.

Required Skills & Qualifications :

- Expert in Google Analytics 4 (GA4) and Google Tag Manager (GTM)setup, debugging, and event schema design.

- Strong experience developing dashboards in Looker and/or Tableau (LookML, calculated fields, parameters).

- Hands-on experience with Python for data manipulation, automation, and ETL scripting.

- Working knowledge of AWS servicesS3, Lambda, Redshift, Glue, or similar data engineering components.

- Strong command of SQL (joins, CTEs, subqueries, optimization).

- Understanding of ETL/ELT processes, schema design, and data warehouse architecture.

- Strong problem-solving, troubleshooting, and debugging abilities across analytics and data systems.

- Ability to analyze data flows end-to-end, identify anomalies, and ensure data consistency.

- Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders.

- A strong sense of ownership, attention to detail, and accountability for data quality and reliability.

- Experience with server-side tagging, BigQuery, or Cloud Functions.

- Familiarity with data modeling and dbt (data build tool).

- Exposure to APIs and data integration tools (Postman, Airflow, etc.).

- Certification in Google Analytics, AWS Data Analytics, or Tableau/Looker.

- Experience working in agile environments (Jira, Azure DevOps).