Responsible for establishment, execution and implementation of the strategy and road map for data analytics, including development and maintenance of analytical data model and visualization using business intelligence (BI) application to empower users with superior insights.
Support the Data Driven Decision Making Organization.
Spearhead in planning, implementing and managing the development of analytical data model, conceptual model and visualization to support reporting process.
Lead the design and development of comprehensive BI reports and dashboards, focusing on user experience, functionality, and accuracy.
Oversee dashboard development timelines and deliverables, ensuring projects are completed on schedule and meet quality standards.
Ensure the use of best practices in data visualization, DAX, and data modeling to create insightful and intuitive solutions.
Drive the development of data usage and initiatives to enhance the analytical capability of line departments.
Serve as the primary contact for BI and analytics queries, leading engagement with internal and external stakeholders to understand key business requirements and collaborating with the technical team to develop effective solutions.
Co-lead the development and maintenance of i-cube for enterprise usage and data publishing.
Plan and lead the team for collaboration with data management office and data warehouse team for data readiness to downstream users/applications.
Provide advisory & support for internal users on using the Data Visualization tools.
Prepare and maintain documentation of business formulas, report objectives, and user requirements for reference.
Supervise and coach colleagues in the understanding and application of data integration programs and database.
Responsible to mediate any potential differences in point of view among the team members within the unit.
Qualifications
Malaysian Citizen.
Masters/Bachelor Degree in Accounting, Statistics / Applied Statistics, Computer Science & Mathematics or equivalent.
At least 10 years of working experience.
Relevant working experience in capital markets and financial related fields is preferred.
Data Analysis, Information Management, Business Knowledge, Accounting, Statistics, Quantitative Methods.
Business, qualitative, quantitative and research analytical skills.
Knowledge in financial accounting, Data Quality Analysis, and Project & Program Management.