Data Analytics Professional

As a Data Analyst, your role involves developing interactive dashboards and visual reports using tools like Power BI, Streamlit, or DashWrite. You will optimize SQL queries for data extraction and analysis while creating Python scripts for data processing, automation, and reporting. Collaboration with stakeholders to gather requirements and deliver data-driven insights is a key part of your responsibilities. Additionally, working on projects related to stock loan, stock lending, and borrowing processes is essential. Leveraging cloud platforms, preferably AWS, for data storage and processing is also part of your role. Key Responsibilities: - Develop interactive dashboards and visual reports using tools like Power BI, Streamlit, or DashWrite - 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 Qualifications Required: - Proficiency in data visualization tools such as 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 practices The above job description does not include any additional details about the company. As a Data Analyst, your role involves developing interactive dashboards and visual reports using tools like Power BI, Streamlit, or DashWrite. You will optimize SQL queries for data extraction and analysis while creating Python scripts for data processing, automation, and reporting. Collaboration with stakeholders to gather requirements and deliver data-driven insights is a key part of your responsibilities. Additionally, working on projects related to stock loan, stock lending, and borrowing processes is essential. Leveraging cloud platforms, preferably AWS, for data storage and processing is also part of your role. Key Responsibilities: - Develop interactive dashboards and visual reports using tools like Power BI, Streamlit, or DashWrite - 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 Qualifications Required: - Proficiency in data visualization tools such as 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 practices The above job description does not include any additional details about the company.