Requirements :
- Bachelor in Statistic, Informatics, Accountant or relevan field
- Minimum 2 years of experience in data analysis or data auditing, preferably with financial data.
- Proficient in writing and optimizing complex SQL queries
- Hands-on experience using Spark for large-scale data processing.
- Comfortable working in JupyterHub / Jupyter Notebook for data analysis and exploration.
- Excellent analytical thinking and attention to detail.
- Strong communication skills and ability to present insights clearly to non-technical stakeholders.
- Experience in financial data auditing or working in finance, banking, or accounting industries.
- Proficiency with Python data analysis libraries such as pandas, pyspark, etc
- Basic knowledge of internal controls and financial audit regulations.