Data Business Analyst (Banking)

Salary: RM 15,000 – RM 20,000 per month

About the role

Act as the go-to point of contact for data-related queries from business users across banking domains. Support business users in identifying the right data elements, datasets, and data products for their use cases, explaining data definitions, lineage, and usage in business-friendly terms. Resolve data queries by working across data platforms, products, and source systems.

Key responsibilities

• Support business users in identifying the right data elements, datasets, and data products for their use cases

• Explain data definitions, lineage, and usage in business-friendly terms

• Resolve data queries by working across data platforms, products, and source systems

• Elicit, analyse, and document data-focused business requirements

• Translate business requirements into logical and physical data mappings, including source systems, tables and columns, data elements and attributes

• Work closely with Group Technology and data engineering teams to ensure accurate interpretation of requirements

• Create and maintain business glossary definitions, data element descriptions, and domain terminology

• Provide SME support for enterprise data platforms and data products (e.g. DWH, Data Lakes, Feature Stores)

• Assist with UAT planning and execution for data-related initiatives, including validation of data against business expectations

• Proactively manage data demand intake and prioritisation for assigned domains

About you

• 5–7 years of experience as a Business Analyst or Data Business Analyst

• Prior experience in banking or financial services is strongly preferred

• Hands-on experience working with enterprise data platforms or analytics environments

• Strong understanding of data concepts, including data models, datasets, and data lineage

• Working knowledge of SQL for basic data exploration and validation

• Experience mapping business requirements to systems, tables, and columns

• Familiarity with data platforms and tools such as Power BI, OAS, Denodo, Feature Stores, or similar is an advantage