KEY RESPONSIBILITIES
- Conduct comprehensive data analysis across commercial, financial, and operational domains.
- Utilize Google Cloud Platform, including BigQuery, Cloud Run, Cloud Functions, Scheduler, and VMs for data management and analytics.
- Develop and maintain ETL processes using Python, integrating data with external systems such as CRM, Line OA notifications, and Line OA chatbot using Google Apps Script.
- Perform data scraping and generate PDFs using Python libraries.
- Analyze financial statements and financial items to provide strategic insights.
- Create detailed reports and visualizations using Bl tools such as Looker Studio and Power Bl, with a strong command of sQL.
- Utilize Google Vertex Al for data modeling and extraction, supporting the development of predictive models.
- Apply machine learning knowledge to enhance data modeling efforts.
QUALIFICATIONS
- Proven experience in data analysis within commercial, financial, and operational sectors of the loaning business.
- Strong proficiency with Google Cloud Platform, including BigQuery, Cloud Run, Cloud Functions, Scheduler, and VMs.
- Advanced Python programming skills for ETL processes, data integration, and external system integration.
- Familiarity with financial statements and financial analysis.
- Expertise in Bl tools such as Looker Studio and Power Bl, with strong SQL skills and data visualization capabilities.
- Experience with Google Vertex Al for data modeling and extraction.
- Basic understanding of machine learning principles and applications.
- Strong analytical and problem-solving skills, attention to detail, and ability to work both independently and collaboratively.
