Data Analytics Engineer
Summary
Builds and maintains data pipelines, models, and analytics to support risk analysis and reporting in a fintech environment, optimizing data flow and infrastructure for scalability.
- Apply statistical techniques for risk analysis
- Assemble complex datasets
- Automate manual processes
- Build production data pipelines
- Create data pipeline architecture
- Develop data models
- Identify process gaps and recommend improvements
- Improve scalability of data infrastructure
- Optimize data flow and collection
- Perform data extraction and transformation
- Perform data mining and analytics
- Perform root cause analysis
- Support reporting and analytics