MODULE LEAD - Performance Management

Senior Manager, Performance Management & Business Analytics

Location: Kuala Lumpur, Malaysia

Years of Experience: 8-12 Years

Job Summary: The Senior Manager, Performance Management & Business Analytics is responsible for delivering data-driven insights, performance reporting, and business analytics to support executive decision-making across Group Operations and business units. This role acts as a strategic analytics partner to senior stakeholders by transforming complex operational and financial data into actionable insights, executive presentations, dashboards, and performance management frameworks. The incumbent will leverage advanced Excel, Power BI, Power Apps, and data visualization capabilities to drive operational transparency, identify opportunities for improvement, and support business transformation initiatives.

Responsibilities:

• Analyze operational, customer, financial, and productivity metrics to identify trends, risks, opportunities, and performance gaps.
• Develop analytical models and business cases to support strategic and operational decision-making.
• Conduct deep-dive analysis on operational performance, cost-to-serve, customer experience, workforce productivity, and transformation initiatives.
• Generate actionable recommendations based on facts, data, and business insights.
• Support target setting, forecasting, scenario modeling, and performance benchmarking across business units.
• Develop high-quality executive reports, scorecards, and management information packs for senior leadership.
• Translate complex data into concise, impactful executive narratives and presentations.
• Design and prepare Board, ExCo, COO, and CEO-level presentations with clear insights and recommendations.
• Ensure consistency, accuracy, and professional standards across all reporting deliverables.
• Design, develop, and maintain Power BI dashboards and automated reporting solutions.
• Build and enhance Power Apps and workflow solutions to improve reporting efficiency and governance.
• Drive reporting automation and self-service analytics capabilities.
• Partner with technology teams to improve data quality, accessibility, and reporting infrastructure.
• Support monthly, quarterly, and annual performance review processes.
• Develop KPI frameworks, scorecards, and measurement methodologies.
• Monitor strategic and operational initiatives and report progress against agreed targets.
• Ensure timely and accurate reporting of business performance metrics across stakeholders.
• Track action plans and improvement initiatives arising from governance forums.
• Collaborate with Operations, Technology, Finance, Customer Experience, Transformation, and local business units.
• Facilitate discussions with stakeholders to understand business requirements and reporting needs.
• Present analytical findings and recommendations confidently to senior stakeholders.
• Build strong relationships across functions to drive data-led decision-making.

Mandatory Skills:

• Advanced Power BI dashboard design and development.
• Experience building applications using Microsoft Power Apps.
• Understanding of Power Automate and workflow automation.
• Advanced MS Excel skills, including Pivot Tables, Power Query, complex formulas, data modeling, and scenario analysis.
• Strong analytical and problem-solving capabilities.
• Ability to transform raw data into actionable business insights.
• Strong attention to detail and commitment to data accuracy.
• Strong stakeholder management and influencing skills.
• Ability to work effectively with senior leaders and cross-functional teams.
• Commercial mindset with strong business acumen.

Preferred Skills:

• Experience with SQL and large datasets.

Qualifications:

• Bachelor?s degree in Business, Finance, Economics, Data Analytics, Statistics, Engineering, Computer Science, or related discipline.
• 8-12 years of experience in business analytics, performance management, reporting, finance, operations, consulting, or related fields.
• Experience working within financial services, insurance, banking, consulting, or large multinational organizations is preferred.
• Proven experience supporting senior executives through data-driven analysis and reporting.