Job Description
- Collaborating with stakeholders to bring data into a standard and query-able format.
- Empowering the company to make data-driven decisions by ensuring reliable and accessible data.
- Analyzing and organizing raw data to extract meaningful insights.
- Evaluating and aligning data processes with business needs and objectives.
- Performing complex data analysis, and interpreting trends and patterns.
Requirements
- Programming experience, focusing on Python (Pandas, NumPy).
- Educated in Financial Engineering, Financial Management, Economics, or related fields.
- Proficiency experience with database systems like Oracle, Postgres, or similar.
- Solid understanding of database design principles.
- Experience with data exploration and visualization tools like Oracle OAS, PowerBI, or similar.
- Strong analytical skills to analyze complex data sets and extract meaningful insights.
- Proven experience in data scraping to extract and process data from various sources.
- Experience with ETL (Extract, Transform, Load) processes.
- Proficiency in Excel for data analysis and reporting.
- Excellent communication and teamwork skills to collaborate effectively with stakeholders and cross-functional teams.
- Familiarity with the capital market.
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