Skill diminta
Microsoft ExcelPower BIPythonSQLTableau
Gaji pasar untuk posisi ini
Median Rp8,5 jt/bulan · rentang umum Rp7,6 jt – Rp9,3 jt
Berdasarkan 35 lowongan Data Science se-Indonesia (semua level).
Lihat data gaji selengkapnya →Deskripsi
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
- 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.