Business Analyst, Data Management

Role: Business Analyst, Data Management
Job Level: Minimum 7-10 years of Relevant experience
Location: Singapore

Responsibilities:
1) Partner with business stakeholders and technology teams to gather data requirements specific to banking products,
transactions, customers, reporting and analytics.
2) Design and maintain logical and physical data models that reflect core banking operations, risk management,
compliance, financial reporting or analytics needs.
3) Translate complex business use cases into normalized and de-normalized data structures optimized for both
operational and analytical workloads.
4) Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking
architecture.
5) Collaborate with development teams on physical data model deployment and performance optimization for large
financial datasets.
6) Ensure data models adhere to data governance, data quality, and metadata management standards across banking
domains.
7) Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business
usage.
8) Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data
usage.
Requirements:

1) Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
2) Minimum 7 years of experience in data architecture, data modelling, or data management, banking or financial
services industry.
3) Basic knowledge of data governance (i.e. DAMA-DMBOK).
4) Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting
domains and various analytics use cases.
5) Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
6) Advanced SQL skills and strong ability to work with large, complex financial datasets.
7) Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
8) Intermediate understanding of regulatory compliance in the APAC region.
9) Strong collaboration, communication, and documentation skills to engage with both business and technical
stakeholders.
10) Experience with the American data management system “Collibra” is a plus.
11) Experience in Alteryx System is highly preferred.

Must-have:
7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).                           
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.

Highly preferred:
System experience: Alteryx
ETL experience
Experience with the American data management system “Collibra” is preferred (not as a developer)