Senior Monitoring, Evaluation, Research and Learning (MERL) Officer

• Support the implementation and ongoing improvement of the DREEM MERL framework and tools.
• Coordinate MERL activities across different project workstreams ensuring alignment with objectives and standards.
• Provide technical guidance on data collection, indicator definitions and reporting to MERL Officers and partners.
• Maintain databases, monitoring trackers, dashboards and information management systems.
• Coordinate data collection, verification, analysis and reporting across project components and partners.
• Provide MERL support, coaching and training to staff and implementing partners.
• Support research, evaluation and learning activities including planning, coordination and quality assurance.
• Promote ethical data management, safeguarding, gender equality and inclusion in MERL activities.

• Bachelor's degree in International Development, Economics, Statistics, Social Sciences, Public Policy or related field.
• At least seven years of experience in monitoring, evaluation, research and learning within international development or humanitarian programmes.
• Experience coordinating MERL systems for complex multi-partner programmes across multiple countries.
• Strong skills in performance measurement frameworks, data collection, quality assurance and donor reporting.
• Experience providing technical support and capacity building to partners including local organizations.
• Ability to analyse quantitative and qualitative data and produce clear reports and recommendations.
• Experience supporting research, evaluations and baseline studies.
• Proficiency in Excel and digital data collection platforms like KoboToolbox, ODK or SurveyCTO.
• Familiarity with data analysis and visualization tools such as Power BI, R, Stata or SPSS.
• Strong organisational, coordination and communication skills.
• Fluency in English is required; professional proficiency in French is a strong asset.
• A postgraduate qualification in Monitoring and Evaluation, Development Studies, Statistics, Research Methods or related field is a strong asset.
• Experience with Mastercard Foundation-funded programmes or their Shared Measures framework is preferred.
• Familiarity with Theory of Change, Outcome Harvesting or contribution-oriented analysis is an advantage.

Apply through the employer's official contact. The employer has not published a closing date.