Job Opportunities: Workforce Planning Specialist

Job Description

• Responsible for HR budget planning, workforce cost analytics, governance, and initiative tracking, providing data-driven insights to support effective workforce and cost management.


• The role manages overall HR staff costs, while partnering with the Workspace Budget team on Opex and Capex. It drives budget forecasting and utilisation, workforce analytics, scenario modelling, and reporting, while leveraging Power BI, automation, Excel, and AI-enabled tools to improve efficiency, data quality, and decision-making.


• The role also drives process and reporting improvements, ensuring strong financial governance, compliance, and effective delivery of HR initiatives.

Responsibilities

Budget Planning, Monitoring, and Insights

Workforce Planning and Analytics

Governance & Compliance

Process & Systems Improvement

Functional Scope

• Direct management of staff cost, and working closely with Workspace Budget team that manage Opex and Capex.

Requirements

• Bachelor’s Degree in Business Administration, Finance, Human Resources, Data Analytics, or a related discipline.


• 5–8 years of relevant working experience.


• Minimum 2–3 years of experience in HR Analytics, Workforce Analytics, Financial Planning, Budgeting, or a related analytical function.


• Professional certification in Data Analytics, Finance, HR Analytics, or Business Intelligence is an added advantage.


• Experience in budget planning, budgeting operations, and financial tracking.


• Strong experience in reporting, dashboard development, and performance monitoring.


• Experience in project management, project reporting, and stakeholder coordination.


• Experience in HR Analytics, Workforce Planning, or Financial Planning will be an added advantage.


• Advanced proficiency in Microsoft Excel, Power BI, dashboard development, and data visualisation.


• Strong capability in workforce analytics, data modelling, and data interpretation.


• Knowledge of financial planning, budgeting, and forecasting.


• Strong data curiosity, analytical thinking, and problem-solving skills.


• Ability to translate complex data into meaningful insights and actionable recommendations.


• Strong attention to detail with the ability to manage multiple priorities and deadlines.