Overview
The consultant will generate policy-relevant analytical outputs on learning quality and equity using learning assessment data and strengthen national capacity to apply advanced statistical methods to this data.
Key Responsibilities
- Assess availability and readiness of datasets; develop a common analytical framework; prepare training materials package covering advanced statistical methods.
- Introduce advanced analytical methods and apply them to country datasets; support country teams to define analytical questions, develop models and produce initial findings.
- Provide remote technical support as country teams deepen their analyses, refine models and extend approaches to broader national learning assessment datasets.
- Facilitate peer review of country analyses; support refinement of results with emphasis on policy interpretation and translating findings into actionable messages.
- Finalize country reports; consolidate technical tools and guidance into a practical toolkit; produce a synthesis report summarizing cross-country findings, lessons learned and recommendations; and support dissemination planning.
Required Experience
Demonstrated expertise in analysing large-scale assessment data, including familiarity with AMPL, MILO, or equivalent international learning assessment programmes. Strong experience in multilevel modelling and complex survey data analysis. Proven experience in capacity building and training delivery, demonstrated by at least five (5) years of experience or three (3) comparable assignments, with references available upon request.
Qualifications
A PhD or equivalent advanced degree in statistics, econometrics, psychometrics, or a related field; OR a Master's degree in a related field with a minimum of seven (7) years of relevant professional experience.
