Risk Mgt Information System Analyst

• Interpret data, analyze results using statistical techniques and provide reports using Tableau, Excel or other Reporting Tools.
• Develop and implement databases, data collection systems, data analysis, and other strategies that optimize statistical efficiency and quality
• Identify, analyze, and interpret trends or patterns in complex data sets
• Create reports to monitor company performance
• Carry out improvement projects related to database development and data pipelines
• Create a management dashboard using the Tableau tool as a monitoring dashboard for the executive level and also the operational level
• Perform data cleaning on data that will be used as analysis material
• Develop visualizations, dashboards, and reports using tools such as Tableau, Power BI, or Excel

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related field.

• Minimum 1 year of working experience in a Data Engineer role.

• Extensive experience with data analysis and machine learning tools (e.g., SQL, R, Python).

• Deep understanding of statistical analysis, machine learning, and predictive modeling.

• Proven expertise in developing and deploying predictive models using techniques such as regression analysis, time series forecasting, and neural networks.

• Proficiency in data visualization tools (e.g., Tableau, Power BI). Familiarity with big data technologies.

• Hands-on experience in data mining techniques to identify patterns, trends, and actionable insights from large datasets.

• Understanding or experience in developing, implementing, and optimizing credit scoring systems and credit risk assessment models.