Risk Mgt Information System Analyst
Summary
Data analyst/engineer role at an Indonesian financing company: interpret data, build and maintain databases and data pipelines, clean data, and create Tableau/Power BI dashboards and reports for credit-risk and company-performance monitoring. Requires SQL, R/Python, statistics, machine learning, and 1+ year as a Data Engineer.
- 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
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Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related field.
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Minimum 1 year of working experience in a Data Engineer role.
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Extensive experience with data analysis and machine learning tools (e.g., SQL, R, Python).
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Deep understanding of statistical analysis, machine learning, and predictive modeling.
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Proven expertise in developing and deploying predictive models using techniques such as regression analysis, time series forecasting, and neural networks.
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Proficiency in data visualization tools (e.g., Tableau, Power BI). Familiarity with big data technologies.
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Hands-on experience in data mining techniques to identify patterns, trends, and actionable insights from large datasets.
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Understanding or experience in developing, implementing, and optimizing credit scoring systems and credit risk assessment models.
