JobSummary:
JobTitle: Google Analytics Engineer Data Engineering & Event
Analytics
Reporting to: TechnicalProject Manager
The Google Analytics Engineer (Expert) will be responsible for configuringmaintaining and optimizing Google Analytics 4 (GA4 and Google Cloudbaseddata pipelines to track eventdriven insights across multiple productsand services. The role involves designing scalable data collection.Strategies extracting meaningful insights from GA4 and integrating data withbusiness intelligence (BI) dashboards for realtime performance tracking.
This position requires deepexpertise in GA4 Google Cloud Platform (GCP) Big Query and eventdrivenanalytics ensuring that all business and product activities are accuratelymeasured analyzed and optimized through data engineering bestpractices.
Internal Interaction With
- Technical Project manager.
- MIS & Business Intelligence Teams
- Product & Engineering Teams
- Research & Data Analytics Teams
- Marketing & Customer Experience Teams
External Interaction With
- Google Cloud Consultants & Partners
- BI & Data Vendors
- Technology & API Integration Partners
Qualifications:
Degree: B.E/B. Tech in Computer Science DataScience Information Systems or related fields
Experience: 4 years in Google Analytics (GA4 Google Cloud(GCP) Data Engineering and EventBased Analytics
Preferred Certifications: Google Analytics (GA4 CertificationGoogle Cloud Professional Data Engineer Big Query Certification
Certifications Required:
Google Analytics Individual Qualification(GAIQ): Fundamental certification that validates knowledge of GoogleAnalytics including GA4.
Google Cloud Certified Professional DataEngineer: Deep expertise in the Google Cloud Platform (GCP) Big Query anddata pipelines ensuring that candidate has skills and knowledge needed todesign build and manage data processing systems on GCP.
Requirements & Skills
Google Analytics 4 (GA4 Implementation& Optimization
- Configure and manage GA4 event tracking data layers and enhanced measurement strategies.
- Define and implement custom events parameters and conversion tracking for various products and services.
- Optimize user engagement tracking through GA4 Google Tag Manager (GTM) and Google Cloud integrations.
EventBased Data Engineering & GoogleCloud (GCP) Integration
- Design and maintain scalable data pipelines on Google Cloud Platform (GCP).
- Extract transform and load (ETL) GA4 event data into Big Query for indepth analysis.
- Ensure seamless data integration with internal dashboards reports and business intelligence tools.
Big Query & Advanced Data Processing
- Develop complex SQL queries to extract insights from GA4 event data stored in Big Query.
- Optimize data processing schema design and performance tuning in Big Query.
- Create automated reports & realtime data streams for crossfunctional teams.
Business & Product Analytics
- Analyses user journeys funnel performance and product interactions using GA4 data.
- Generate customer behavior insights to support growth retention and engagement strategies.
- Work with marketing & product teams to improve attribution models campaign tracking and A/B testing.
BI & Dashboard Integration
- Work with MIS & Data Teams to develop interactive dashboards (Google Data Studio Looker Tableau Power BI).
- Ensure realtime data visualization for product business and operational insights.
- Maintain data governance & compliance across Google Cloud and analytics platforms.
Performance Monitoring & DataAutomation
- Implement data alerts and anomaly detection systems for proactive business insights.
- Automate data workflows using Google Cloud Functions Python and Big Query ML models.
- Ensure accuracy scalability and efficiency of analytics pipelines.
Requirements
Roles & Responsibilities:
Ensure
1 Accurate GA4 event tracking data collectionand reporting.
2 Realtime integration of GA4 insights with BIdashboards for decisionmaking.
3 Scalable and optimized data pipelines on GoogleCloud Platform (GCP).
Carry out
1 Data extraction transformation and loading(ETL) from GA4 to Big Query.
2 Advanced SQL & Big Query queries forbusiness intelligence.
3 Custom event tracking audience segmentationand engagement analysis.
Contribute
1 Automation of reporting processes and realtimedata alerts.
2 Predictive analytics models for user behaviorand business intelligence.
3 Improvement of analyticsdriven decisionmaking through deep data insights.
Competencies