Posted on: 13/10/2025
Responsibilities :
- Work with data architects to design dimensional models for banking data (star schemas, snowflakes)
- Define ETL/ELT requirements for loading banking transactions, customer data, and reference data
- Specify data validation rules and reconciliation processes
- Work with stakeholders (business users, IT teams, regulators) to document data and reporting requirements.
- Define source-to-target mappings for banking data (transactions, customer info, risk data etc) and analyze and validate data models (star schema, snowflake) for the warehouse.
- Design dashboards for risk management, customer analytics, and financial reporting and Support regulatory and compliance reporting needs
- Write complex SQL queries to extract, transform, and validate banking data.
- Exposure in ETL (Extract, Transform, Load) workflows align with business rules
- Support UAT (User Acceptance Testing) for new data feeds and reports.
- Define data quality rules (completeness, accuracy, consistency) and monitor them.
- Maintain data dictionaries and lineage for audit and governance.
- Bridge the gap between business users (risk, finance teams) and technical teams (ETL developers).
Technical Skills :
- SQL expertise (complex queries, performance tuning)
- Data warehouse concepts (star schema, slowly changing dimensions)
- Banking data knowledge (GL accounts, transactions, customer hierarchies)
- ETL tools ( ADF, Snowflake, INFORMATICA, DataStage, SSIS,)
- BI tools (Power BI,SSRS)
Domain Knowledge :
- Understanding of banking products and operations (Personal Banking, Business Banking, Commercial & Corporate Banking)
- Regulatory reporting requirements
- Risk management concepts and Customer segmentation methodologies
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Functional Area
Data Analysis / Business Analysis
Job Code
1559887
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