Monitoring, Evaluation and Learning Officer job opportunity at International Institute of Tropical Agriculture(IITA).

Home Jobs In Ghana Tag: Evaluation and Learning Officer Monitoring, Evaluation and Learning Officer position at International Institute of Tropical Agriculture(IITA)


Date2025-06-26T13:57:58.924Z bot
International Institute of Tropical Agriculture(IITA) Monitoring, Evaluation and Learning Officer
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Pattern: Full-time
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Evaluation and Learning Officer

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loacation Accra, Ghana
loacation Accra....Ghana

The successful candidate will play a key role in design, implementation, data analysis, reporting, and continuous improvement of MELIA processes and activities.  Primary Responsibilities   ·         Support the development of MELIA plan for the Sustainable Farming Program (review of Theory of Change, development of results framework, Impact Assessment design, etc) ·         Support the design, testing (including pretesting of household survey tools), reviewing, and finalization of MELIA data collection tools for output, outcome and impact data (focusing on the agreed KPIs) ·         Develop training plans based on regular assessments of partners’ capacity to implement MELIA activities and feedback/gaps on uploaded data and other feedback ·         Conduct data quality checks on a monthly basis, focusing on uploaded data from partners and quick surveys ·         Contribute to project annual reporting by providing required MEL data across the results framework and extracting critical outcomes and impact indicators from impact assessment surveys ·         Prepare a yearly detailed calendar of MEL activities (including capacity building, partner review sessions, etc.) with accompanying budget ·         Undertake regular visits to the field to support implementation of MELIA and to identify where adaptation might be needed ·         Support the design and implementation of household surveys (programming questionnaires in ODK or Survey Solutions, pretesting, training survey enumerators, etc.) ·         Contribute to the preparation of communication materials, research reports, scientific papers, policy briefs, drafting of MELIA reports, case studies, and success stories and lessons learned across partnership platforms ·         Conduct data cleaning, processing, and analyzing (using advanced analytical methods) primary and secondary data, including through the development of scripts to automate retrieval from and upload of data to databases and data management systems, ensuring quality and completeness. ·         Support regular learning sessions, progress reviews, and adaptive planning with program teams and partners. ·         Contribute to literature reviews and synthesis to support research reports Work with teams of research and development partners, community-based organizations and farmers: ·         Support program partners in piloting and scaling of innovations within the various partnership platforms and collect related data ·         Train program partner staff on MEL requirements, data collection tools and approaches ·         Follow up and provide technical support/guidance to Partner staff, and trainers regarding data generated through their field activities ·         Provide feedback to partners during reflection and review sessions and from data quality checks ·         Conduct regular assessments of partners’ capacity to implement MEL activities based on feedback/gaps on uploaded data and other feedback ·         Undertake regular visits to the field to support implementation of ME&L and to identify where adaptation might be needed ·         Any other tasks that may be assigned by the supervisors.  MSc degree in Economics, Agricultural Economics, Statistics, or related fields. Experience in monitoring, evaluation and learning, impact evaluation of agricultural technologies such as improved varieties, agronomic practices, etc. Experience in developing MEL plans (results framework, TOC, etc) Experience working with partners to implement MEL activities Proficiency with statistical software such as Stata (e.g. writing do-files for data processing and analysis), R Knowledge of quantitative econometric methods and/or economic modelling. Experience with spatial analysis (e.g. using ARC-GIS, R etc.). Experience in designing digital data collection tools (e.g., using ODK, Kobocollect, Survey Solutions, etc) Excellent communication skills and command of English.  Excellent team player, and self-motivated and independent problem solver who excels at prioritization and multi-tasking.  CLOSING DATE: July 4, 2025.   Only short-listed candidates will be contacted.

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