Senior Data Analyst

View full description

Requirements:

• At least 4-5 years as a Data Analyst.
• Experience in processing and integrating large datasets.
• Proficiency in Python (pandas, numpy, scipy) for data analysis.
• Strong SQL query skills, specifically PostgreSQL.
• Strong proficiency in Microsoft Excel.
• Upper intermediate or higher English communication skills, both written and verbal.
• Good communication skills.
• Experience with BI Dashboards and Tableau is an advantage.

Responsibilities:

• Processing and integrating massive datasets.
• Developing scripts/Excel templates for structured and unstructured data.
• Optimizing and automating data processes.
• Working closely with business users from risk management to understand their needs.
• Collaborating with external vendors and departments to ensure data quality.
• Developing data architecture for internal use.
• Creating market risk reports and filling in for colleagues in the risk department.
• Participating in new IT platform implementations.
• Collaborating with trading and IT departments to address business cases.