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
Requirements
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; robust SQL for relational databases and query optimization.
📌 Senior BI (India)
🏢 CodeNinja
📍 India
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