Pablo Bautista Sánchez
Data analyst with experience in financial risk analysis, fraud detection, and AML/KYC compliance, using SQL, Python, Tableau/Power BI, and predictive modeling to reconcile multi-source data and identify anomalies.
About
Data analyst with experience in financial risk analysis, fraud detection, and AML/KYC compliance, using SQL, Python, Tableau/Power BI, and predictive modeling to reconcile multi-source data and identify anomalies. Skilled in building dashboards and reporting solutions with strong data engineering and cloud capabilities (Azure, Hadoop, Spark, Databricks) to support data-driven decision-making and regulatory processes.
- 3 years' experience
- Joined July 2026
Industry experience
- Financial Services
- Professional Services
- Real Estate & Construction
More experts in Malaga, Spain
Work experience· 4 roles
Performed financial and transactional data analysis to identify risk patterns and potential fraud. Investigated behavioral patterns using exploratory and diagnostic analysis, and reconciled validated information from multiple data sources. Detected anomalies and unusual transactions for further investigation. Developed dashboards and reporting solutions using Business Intelligence tools. Supported financial risk analysis and regulatory compliance processes (AML/KYC). Managed and processed large volumes of structured and unstructured data; contributed to predictive modeling and data visualization to support data-driven decision-making.
Perform financial and transactional data analysis to identify risk patterns and potential fraud. Investigate behavioral patterns using exploratory and diagnostic data analysis; cross-check, validate, and reconcile data from multiple sources. Detect anomalies/unusual transactions for further investigation. Develop dashboards and reporting solutions with Business Intelligence tools. Support financial risk analysis and regulatory compliance processes (AML/KYC). Manage and process large volumes of structured and unstructured data.
Analyzed customer behavior and performed data-driven segmentation. Built reports and tracked KPIs for commercial performance. Leveraged customer data to identify business opportunities and growth areas. Monitored digital performance metrics using Google Analytics and supported data-driven decision-making across commercial and marketing teams. Conducted market and trend analysis to inform business strategy.
Education· 7
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