Data Analytics Professional

Key Responsibilities :

• Develop interactive dashboards and visual reports using tools like Power BI, Streamlit , or Dash
• Write and optimize SQL queries for data extraction and analysis
• Create Python scripts for data processing, automation, and reporting
• Collaborate with stakeholders to gather requirements and deliver data-driven insights
• Work on projects related to stock loan, stock lending, and borrowing processes
• Leverage cloud platforms (preferably AWS) for data storage and processing

Requirements:

• Proficiency in data visualization tools: Power BI, Streamlit , Dash, etc.
• Strong experience in SQL and relational databases
• Solid Python scripting skills
• Domain knowledge in banking, with a focus on stock loan and securities lending/borrowing
• Familiarity with cloud platforms, especially AWS

Good To Have Skills :

• Experience with financial data modeling
• Knowledge of data governance and security practice