Associate, Rewards Analytics & Performance

About the role

The jobholder will support the Regional Rewards and Performance team in delivering compensation, benefits and performance management programmes across Malaysia and the Group. The role will be responsible for preparing and analysing rewards data, supporting compensation benchmarking and annual review exercises, maintaining accurate management information, and coordinating with HR stakeholders. The jobholder will also assist in research, reporting, budgeting and the implementation of rewards initiatives. This role provides strong exposure to regional rewards practices, workforce analytics and strategic HR projects.

Key responsibilities

• Collect, validate and analyse compensation and benefits data from internal and external sources
• Support participation in salary and benefits surveys, including data preparation, submission and results analysis
• Prepare market benchmarking reports and identify relevant compensation trends
• Support the coordination of annual and mid-year salary and performance review exercises
• Consolidate recommendations and data submissions from HR teams across Malaysia and the region
• Perform data validation and reconciliation to ensure accuracy and completeness
• Maintain rewards data covering base salary, variable pay, benefits and related employee information
• Prepare regular and ad hoc reports to support business and management decision-making
• Develop and maintain Excel-based models, trackers and dashboards
• Work closely with HR Business Partners, HR teams, Finance and other internal stakeholders

About you

• Bachelor's degree in Human Resources, Business Administration, Economics, Finance, Mathematics, Statistics, Data Analytics or a related discipline
• Approximately two to four years of relevant experience in rewards, HR analytics, compensation and benefits, finance, consulting or a related analytical function
• Strong numerical, analytical and problem-solving capabilities
• Advanced Microsoft Excel proficiency is essential, including pivot tables, lookup functions, logical and statistical formulas, data validation, data cleaning and analysis of large datasets
• Ability to interpret data and translate findings into clear, practical insights
• Good Microsoft PowerPoint skills, including the ability to prepare management-level presentations and visualise data effectively
• Strong data accuracy and process orientation
• Experience within financial services, a large corporate environment or consulting would be advantageous
• Experience with Power Query, data models, dashboards, macros or other automation tools would be an advantage
• Familiarity with HR systems, Power BI or other reporting tools would be an added advantage