onsite
Fraud Data Analyst
Data Analyst
Analyze fraud patterns using APIs and cloud data platforms, building BI dashboards and data architecture solutions to detect and prevent fraudulent activities.
About the role
Key Responsibilities
- Design, develop, and maintain APIs for data ingestion and fraud detection workflows.
- Build and optimize Business Intelligence dashboards to visualize fraud metrics and trends.
- Architect scalable cloud data solutions, ensuring data integrity and performance.
- Collaborate with cross‑functional teams using Confluence to document processes and share insights.
- Implement data quality checks and anomaly detection algorithms to flag suspicious activities.
Requirements
- Proven experience with API development and integration.
- Strong background in Business Intelligence tools (e.g., Power BI, Tableau).
- Hands‑on expertise in cloud data platforms (AWS, Azure, or GCP).
- Solid understanding of data architecture principles and best practices.
- Excellent communication skills and proficiency with Confluence for documentation.