Data Analyst
About this role
If you are looking to excel and make a difference, take a closer look at us…
Key Responsibilities
1. Data Extraction, Transformation & Automation
• Extract, clean, validate, and reconcile data from multiple source systems, including finance datamarts, GL, product systems, customer-level datasets, and business reports.
• Build automated data pipelines and repeatable reporting templates to reduce manual reporting effort.
• Support automation of recurring reports such as monthly performance tracking, forecast packs, product P&L, cost reports, and variance.
2. Dashboard & Reporting Development
• Develop Power BI / Excel dashboards to provide timely visibility on business performance, product profitability, sales trends, cost movements, and KPI tracking.
• Translate business requirements into clear data models, dashboards, and self-service reporting tools.
• Ensure dashboards are user-friendly, accurate, and aligned with management reporting needs.
3. Financial & Business Analysis
• Support Business Finance teams in analysing revenue, cost, margin, NIM, FTP, fee income, product profitability, and customer segment performance.
• Assist in budget, forecast, and scenario modelling by preparing clean datasets and analytical views.
• Perform trend analysis, variance analysis, root cause analysis, and business driver analysis to support management decision-making.
4. Product P&L Support
• Support development of product-level and account-level P&L reporting by preparing, validating, and reconciling data inputs.
• Work with Finance, Business, IT, and vendors to ensure data logic, mapping rules, and reconciliation processes are properly documented.
• Assist in identifying data gaps, product ownership issues, and exception handling required for product P&L reporting.
5. Data Governance & Quality Control
• Perform data quality checks, reconciliation, and exception reporting to ensure accuracy and consistency of outputs.
• Document data definitions, transformation logic, assumptions, and report methodologies.
• Maintain a structured repository of reports, data logic, dashboards, and working files.
6. Stakeholder Support
• Work closely with Finance Business Partners, Product Managers, Business Heads, IT, Analytics, and external vendors.
• Translate business questions into data requirements and analytical outputs.
• Provide clear commentary and insight to support management presentations, business reviews, and decision papers.
Requirements:
Education
• Degree in Data Science and Business Analytics, Computer Science, or related field.
Experience
• 6–10 years experience in banking finance, finance systems, or financial data management
Technical Knowledge
• Understanding of data warehouse architectures, and database structures
• Knowledge of SQL or data querying tools
• Familiarity with analytics platforms such as Power BI or Tableau
Project & Vendor Experience
• Experience implementing finance data warehouse or finance datamart in banking.
• Familiarity with product profitability, FTP allocation, and banking financial data structures.
About Hong Leong Bank
We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China.
We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.
Realise your full potential at Hong Leong Bank by applying now.