Risk Mgt Information System Analyst

PT Surya Artha Nusantara Finance; Jakarta Pusat; On-site; IDR 250,000,000 - 400,000,000; Full time

Job summary

PT Surya Artha Nusantara Finance is seeking a Data Engineer to interpret data, analyze results, and provide reports using Tableau, Excel, or other tools. You will develop databases, data collection systems, and pipelines to optimize statistical efficiency and quality.

You will build dashboards for executive and operational levels, perform data cleaning, and create visualizations with Tableau, Power BI, or Excel.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or related field.
• Minimum 1 year of working experience in a Data Engineer role.
• Extensive experience with data analysis and machine learning tools (SQL, R, Python).
• Deep understanding of statistical analysis, machine learning, and predictive modeling.
• Proven expertise in developing and deploying predictive models (regression, time series, neural networks).
• Proficiency in data visualization tools (Tableau, Power BI). Familiarity with big data technologies.
• Hands-on experience in data mining to identify patterns and actionable insights.

Responsibilities

• 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 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 Tableau for executive and operational monitoring.
• Perform data cleaning on data used for analysis.
• Develop visualizations, dashboards, and reports using Tableau, Power BI, or Excel.

Skills

Data analysis

Machine learning

Statistical modeling

Data visualization

SQL

Python

R

Data mining

Education

Bachelor’s degree

Tools

Tableau

Power BI

Big data

Job description

• 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

• 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

Minimum 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.