Job Description / Responsibilities:
- Design and execute complex SQL queries on large datasets to identify transactional anomalies and fraudulent activities.
- Conduct rigorous analysis of operational and financial data to detect patterns and potential system vulnerabilities.
- Develop data-driven scripts and tools (using languages such as Python) to automate fraud detection and reporting workflows.
- Collaborate closely with software development and data engineering teams to enhance systems and implement preventive mechanisms.
- Design and maintain Business Intelligence (BI) dashboards to visualize data trends and insights for management.
- Contribute to the design of new data models to enable advanced analytical capabilities.
Requirements / Qualifications:
- Proficiency in SQL for database management and familiarity with programming languages such as Python.
- Strong ability to analyze large datasets and extract actionable insights.
- Ability to deeply understand and analyze software processes and architectures.
- Logical and algorithmic approach to complex problem-solving.
- High sense of responsibility and professional commitment.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
- Bachelor’s degree in Computer Science, Software Engineering, or related fields.