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MERL Assistant-Monitoring, Evaluation, Research and Learning
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Aga Khan Foundation
Kenya, Nairobi
Fulltime
Purpose of the position
AKF is seeking a dynamic, enthusiastic, and a fast learner individual to ensure data is effectively collected and used to improve quality of programming and influence for AKF education programming. The Assistant will support in ensuring data quality, conducting real-time data analysis, routine program monitoring and program data management. S/he will ensure that data is used by teams to improve programme implementation as well as supporting teachers and educational leaders to improve their understanding on the use of data to drive pedagogical and education system improvements.
Duties and Responsibilities.
Work closely with the AKF education team to manage real-time data collection, data entry, analysis, manage program data and provide feedback to key partners.
Work closely with the MERL and Program Team to build on the institutional learning agenda.
Provide school-based and/or site-based support to enable teachers, school leaders and partner staff to effectively collect, analyse, and use data to improve pedagogical practice and schools.
Support internal professional development of staff to enable effective utilisation of AKF data platforms to be implemented across all AKF education programmes.
Integrate new knowledge into programme implementation for programming.
Propose, develop and/or adapt data maintenance software and resources for use.
Engage key partners on data needs to ensure effective collection and management of data.
Work closely with the MERL team to continuously support the M&E functions for Education Improvement Program (EIP) and other core thematic areas.
Key qualifications and experience
Relevant undergraduate qualification including, Statistics, Economics, Social studies, Computer Science, Demography, Geography, or M&E
Ability to design Data Collection Tools, Sampling Methods and Quantitative/Qualitative Data Analysis is required.
2 years practical experience in similar field
Knowledge of online and offline, open-source data collection tools and approaches and or database environment and/or project management software.
Experience of working in ICT enabled data management systems is an added advantage.
Data Science
Research
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