Senior BI & Advanced Analytics Developer
At a Glance
- Category
- 🏦 Finance & Banking
- Level
- Senior
- Experience
- 4+ years
- Type
- Full-time
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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.
Requirements
- •4+ years as a Business Intelligence or Data Analyst
- •Experience within corporate or retail banking
- •Expert-level PowerBI (DAX, Power Query)
- •Working knowledge of SAP BusinessObjects / Web Intelligence
- •Advanced Python for data manipulation
- •Strong SQL for relational databases and query optimization
Responsibilities
- •Apply domain expertise to identify financial trends, assess risk, and track metrics
- •Design, build, and optimize ETL pipelines
- •Build interactive, automated dashboards for decision-making
- •Translate and modernize legacy SAP BusinessObjects reports to PowerBI
- •Write optimized data transformation scripts and data models
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