- Proficient in Python programming with strong knowledge of data manipulation libraries (Pandas, NumPy). Experience in Selenium/OCR (Automation tools) and VBA

- Extract, clean, and manipulate large datasets using Python libraries like Pandas and NumPy.

- Experience working in a large financial services company

- Knowledge and understanding of data visualization & reporting tools (Tableau, Power BI, Alteryx, Python)

- Design and develop Python-based applications to automate business processes and streamline operation

- Develop custom Python scripts to analyze data, identify trends, and generate insights.

- Translate complex business problems into actionable data-driven solutions.

- Experience with data visualization tools (Matplotlib, Seaborn)

- Familiarity with SQL databases and data warehousing concepts

Job Expectations :

- Experience working in a large financial services company, preferably with Commercial Real Estate

- Extract, clean, and manipulate large datasets using Python libraries like Pandas and NumPy.

- Working project knowledge on AI

- Knowledge and understanding of data visualization & reporting tools (Tableau, Power BI, Alteryx, Python)

- Expert or Advanced level Microsoft Office skills