Design and optimize ETL pipelines and data models, translate legacy SAP BusinessObjects reports into Power BI, build automated executive dashboards, apply banking domain analytics to track metrics and assess risk, and tune performance for large datasets.
Role Overview
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; strong SQL for relational databases and query optimization.
Benefits
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