Data Science Role - BFS

- Power BI Expertise: Strong proficiency in Power BI, including report creation, dashboards, data modelling, and DAX (Data Analysis Expressions). Implement and manage security roles, row-level security (RLS), and data privacy measures to protect sensitive financial data.

- Data Integration: Experience integrating Power BI with diverse data sources such as SQL Server, Excel, APIs, cloud-based data warehouses (AWS, Azure), and other external platforms.

- Data Visualization: Ability to create insightful and interactive data visualizations that help in making informed business decisions.

- SQL Knowledge: Expertise in writing complex SQL queries for data extraction, transformation, and loading (ETL).

- ETL Tools: Experience in using ETL tools and processes for cleaning, transforming, and loading data into Power BI for reporting.

- Understanding of Financial Metrics: In-depth understanding of the Banking, Financial Services, and Insurance industry, with the ability to identify and create solutions for key metrics like balance sheet, P&L, risk, credit scoring, repayment analysis, credit risk metrics (loan portfolio performance, NPAs, etc) and more.