Workforce Planning Analyst

Role Description The Workforce Planning Analyst is a part-time role based in Abu Dhabi Emirate, United Arab Emirates, with a hybrid work arrangement that combines on-site collaboration and work-from-home flexibility. In this role, the analyst will forecast staffing needs, support capacity planning, and monitor workforce metrics to ensure that programs, workshops, and initiatives are adequately resourced. Day-to-day responsibilities include analyzing participant and workload data, preparing workforce reports and dashboards, and recommending adjustments to staffing plans to optimize efficiency and service quality. The analyst will collaborate with program leads, HR, and operations teams to align workforce strategies with organizational goals, and will communicate findings in a clear and accessible way to both technical and non-technical stakeholders. The role also involves contributing to continuous improvement of workforce management processes and tools.

Qualifications

• Candidates should possess strong Capacity Planning and Workforce Management skills to forecast needs and align staffing with program demand.
• Candidates should possess solid Analytical Skills and Workforce Analytics capabilities to interpret data, build reports, and support data-driven decision-making.
• Candidates should possess effective Communication skills to present insights, collaborate with cross-functional teams, and engage stakeholders clearly and respectfully.
• Experience with Excel or other spreadsheet tools, BI or reporting platforms, and basic data visualization techniques is beneficial.
• Background in operations, HR analytics, business analysis, or a related field is preferred; experience in mission-driven or nonprofit environments is a plus.
• Relevant education in Business, Economics, Statistics, Data Analytics, or a comparable discipline is advantageous, or equivalent practical experience.
• Ability to work independently, manage multiple priorities in a part-time hybrid setting, and maintain confidentiality and ethical handling of organizational data.