Role: Business Analyst, Data Management (for Banking industry)
Hire mode: Full-time
Budget:9000-10,000SGD
Responsibilities:
- Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
- Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting or analytics needs.
- Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
- Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
- Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
- Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
- Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
- Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum 7 years of experience in data architecture, data modelling, or data management, banking or financial services industry.
- Basic knowledge of data governance (i.e. DAMA-DMBOK).
- Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
- Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
- Advanced SQL skills and strong ability to work with large, complex financial datasets.
- Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
- Intermediate understanding of regulatory compliance in the APAC region.
- Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
- Experience with the American data management system Collibra is a plus.
- Experience in Alteryx System is highly preferred.
