CR/095663 | Business Analyst, Data Management (Banking Industry)

COMPANY OVERVIEW

Our client is a global business consulting firm headquartered in Japan, with a strong presence across Asia and beyond.

They are expanding and currently in search for a Data Management

 RESPONSIBILITIES

• Collaborate with business stakeholders and technology teams to gather and analyze data requirements related to banking products, transactions, customers, and reporting.

• Design and maintain logical and physical data models for core banking, risk management, compliance, and financial reporting.

• Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.

• Implement and evolve data marts, data warehouses, and data integration layers aligned with the client’s data architecture.

• Work with development teams to deploy physical data models and optimize performance for large financial datasets.

• Ensure all data models comply with data governance, quality, and metadata management standards.

• Produce data documentation, including data dictionaries and lineage diagrams, for business, audit, and regulatory use.

• Support initiatives related to data lineage, metadata management, and data quality to enhance data trust and transparency.

• Provide business support with the ability to identify and highlight IT issues when necessary.

• Create and maintain reports and communicate effectively with both technical and business stakeholders.

JOB REQUIREMENTS

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.

• Min. 7–10 years of experience in data architecture, data modelling, or data management in the banking or financial services industry.

• Deep expertise in logical and physical data modelling, particularly for core banking, risk, compliance, and analytics use cases.

• Strong skills in data modelling tools such as Erwin, PowerDesigner, or similar.

• Advanced SQL skills with experience handling large, complex financial datasets.

• Solid understanding of relational and dimensional modelling, data warehousing, and integration techniques.

• Familiarity with data governance frameworks like DAMA-DMBOK.

• Intermediate understanding of APAC regulatory compliance.

• Excellent communication, collaboration, and documentation skills.

• Ability to create clear reports and work well in a team setting.

• Experience with the American data management platform Collibra (non-development role) is a plus.

• Good communication skills in both writing and spoken to communicate effectively with the stakeholders and clients.

Working Location: Singapore

Ng Siew Thien (R22107842) 

JAC Recruitment Pte. Ltd. (90C3026)

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