Educational Planner – Class Formation & Automation
Quick answer
UNRWA is hiring a remote Educational Planner – Class Formation & Automation for 3 months to support the preparation of the 2026/2027 class formation cycle, conduct a technical assessment of automation progress, and produce a roadmap. Compensation is based on a 50% P4 Level.
- Role
- Educational Planner – Class Formation & Automation
- Organization
- UNRWA - Programme Education - Headquarters Amman
- Location
- Remote/Home based
- Work setup
- Remote
- Level
- Entry
- Compensation
- 50% P4 Level according to UNRWA's schedule of Deliverables and Timelines
- Category
- Programs & Operations
The role
Support the preparation of the 2026/2027 class formation cycle, conduct a technical assessment of the automation progress achieved to date, and produce a clear roadmap of next steps to complete and institutionalise the automated process.
What you'll do
- First Draft of the 2026/2027 Class Formation
- Technical Assessment of Class Formation Automation
- Final Document with Recommended Next Steps
What it takes
- Advanced university degree (Master's or equivalent) from an accredited institution in Education Planning, Economics of Education, Statistics, Data Analytics, Information Systems, Public Policy, or a related field
- Minimum 7 years of relevant professional experience in education planning, school mapping, enrolment management, or education data systems
- Proven experience in class formation, education resource allocation, and/or school mapping processes at system level
What you'll bring
Frequently asked questions
Where is the job located?
Remote/home-based
What is the compensation?
50% P4 Level according to UNRWA's schedule of Deliverables and Timelines
What are the key qualifications required?
Advanced university degree in a relevant field, 7 years of experience, and proven experience in class formation or education data systems.
How to apply
Apply directly on UNRWA - Programme Education - Headquarters Amman's site. We link straight through — no resume parsing, no profile to fill out.
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