Analytics Engineer, Global Analytics Operations

You support operational excellence by monitoring data platforms, managing incidents, handling user requests, and improving processes. You build and maintain scalable data models and ETL/ELT pipelines, ensure data quality through testing and monitoring, support analysts and data scientists with reliable data, deliver actionable insights, and apply governance, security, and documentation standards.

Responsibilities

• Monitor data platforms and manage incidents
• Handle user requests and data inquiries
• Identify gaps and implement scalable improvements
• Automate workflows and introduce analytical patterns
• Support analysts and data scientists with reliable data
• Partner with business teams to understand data needs
• Build and maintain scalable data models and ETL/ELT pipelines
• Maintain data quality through automated testing and monitoring
• Resolve data issues proactively
• Apply data governance, security, and documentation standards

Requirements

• Bachelor’s or graduate degree in computer science, engineering, or a related field, or equivalent experience
• Advanced to expert SQL skills
• Python experience
• ETL/ELT pipeline development experience
• Hands-on experience with GCP, AWS, or Azure
• Experience with modern data stack tools including dbt
• Experience with Apache Airflow or other workflow orchestration tools
• Understanding of data warehousing and dimensional modeling
• Knowledge of banking or finance and data governance practices