Analytics Engineer, Global Analytics Operations
Summary
Build and maintain scalable data models and ETL/ELT pipelines, monitor data platforms, and ensure data quality for analysts and data scientists in a banking environment.
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