Job Description

• Develop the MEL framework and information system to track delivery against targets, outcomes, and impacts. He/she will lead analysis of data collected by implementing partners for assessment of progress (on-the-ground and at system level) to measure the programme’s progress towards strategic outcome areas as well as to capture learnings and inform adaptive management.
• Maintaining a high-level and strategic overview of the programme’s progress and engaging with other RA-PURE nexus programmes in East Africa to continuously refine programme strategies and monitoring efforts.
• Direct engagement with programme implementation partners to build their understanding and capacities of the programme’s ToC, MEL framework, and data collection tools, and accordingly actively ensuring the collection of high-quality data by programme partners.
• He/she will also support PME capacity building and learning activities for SoC Programme staff.
• Lead the collection and documentation of programme learnings by organising in and cross-country learning events and exchange visits and capturing these learnings in the form of knowledge products (including case studies, learning briefs, best practice documents, and success stories).He/she will guide reporting processes amongst technical staff and consolidate program reports, promote learning and knowledge sharing on best practices and lessons learned.Collect, consolidate and review impact results at corporate level in coordination with the Project Manager. Manage the corporate level results database and support distribution of planned and actual results to management. Supports Sector and Country teams with use of global harmonised indicator (GHI) data on request

Qualifications

• A master’s degree in Statistics, Qualitative Economics, Social Studies, International development, or related disciplines is required.
• A minimum of 5 years of relevant work experience in programmes in areas of MEL.
• Familiarity with donor and SNV reporting requirements
• Demonstrated skills in quantitative data analysis, data management and in the presentation of results for the identification of best practices and to inform decision-making
• Proficiency in using databases and statistical software is required (e.g. SPSS or EPI-Info, STATA, LogAlto) as well as strong skills in Excel, Word, PowerPoint and mobile technologies to report data
• Demonstrated commitment to Gender Equity and Social Inclusion (GESI)
• Willingness to travel to all program locations, including remote areas.