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About the role
Role Description Combines deep banking domain expertise with data engineering and business intelligence skills to transform complex, multi-source financial data into high-impact enterprise dashboards for a leading banking client. Key Responsibilities Banking Analytics: Apply domain expertise to identify trends, assess risk, and track core financial metrics. Data Engineering: Design, build, and optimize ETL pipelines feeding analytical databases. Visualization Suite: Build interactive, automated dashboards for executive and operational decision-making. System Migration: Translate and modernize legacy SAP BusinessObjects reports into a self-service PowerBI environment. Performance Tuning: Write optimized data transformation scripts and data models for large-scale datasets. Qualifications 4+ years as a Business Intelligence or Data Analyst, specifically within corporate or retail banking. Expert-level PowerBI (DAX, Power Query); working knowledge of SAP BusinessObjects / Web Intelligence for legacy report migration. Advanced Python for data manipulation; strong SQL for relational databases and query optimization. Role Description Combines deep banking domain expertise with data engineering and business intelligence skills to transform complex, multi-source financial data into high-impact enterprise dashboards for a leading banking client. Key Responsibilities Banking Analytics: Apply domain expertise to identify trends, assess risk, and track core financial metrics. Data Engineering: Design, build, and optimize ETL pipelines feeding analytical databases. Visualization Suite: Build interactive, automated dashboards for executive and operational decision-making. System Migration: Translate and modernize legacy SAP BusinessObjects reports into a self-service PowerBI environment. Performance Tuning: Write optimized data transformation scripts and data models for large-scale datasets. Qualifications 4+ years as a Business Intelligence or Data Analyst, specifically within corporate or retail banking. Expert-level PowerBI (DAX, Power Query); working knowledge of SAP BusinessObjects / Web Intelligence for legacy report migration. Advanced Python for data manipulation; strong SQL for relational databases and query optimization.