Essential Requirements
- Bachelor's degree in Data Science, Statistics, Management Information Systems, Psychometrics, Educational Measurement, Research Methods, or a closely related field. A postgraduate qualification is highly desirable.
- Demonstrable professional experience in data management, data analytics, psychometrics, performance measurement, educational research, monitoring and evaluation, or a related field.
- Demonstrated experience working with large, complex datasets and applying advanced statistical techniques within research, educational, or organisational contexts.
- Strong expertise in data capture, data management, data cleaning, quality assurance, and data reporting.
- Excellent analytical and problem-solving skills, with the ability to communicate complex findings clearly to both technical and non-technical audiences.
- Outstanding report-writing and communication skills.
Technical Expertise
The ideal candidate will possess strong proficiency in:
- SPSS or comparable statistical analysis software.
- Power BI or equivalent business intelligence and dashboard-management platforms.
- Advanced data visualisation techniques and dashboard development.
- Microsoft Excel, Access, and other data management tools.
- Item Response Theory (IRT), psychometric analysis, and educational measurement.
- Exploratory and Confirmatory Factor Analysis.
- Structural Equation Modelling (SEM), including knowledge of AMOS or similar software.
- Predictive modelling, forecasting, and advanced quantitative analysis.
Desirable Attributes
- Experience in education, school improvement, educational evaluation, assessment, or research environments.
- Experience developing performance indicators, benchmarking systems, and organisational dashboards.
- Ability to work effectively with senior leaders and diverse stakeholder groups.
- Professional proficiency in both English and Arabic would be a significant advantage.