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DRC Senior MEL Program Associate (Fixed-Term)

One Acre Fund
CompanyOne Acre Fund
CategoryUncategorised
LocationKinshasa
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted29 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About One Acre Fund Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our  Why Work Here blog post. About the Role The Senior Program Associate (Monitoring, Evaluation, and Learning) will independently manage the full MEL country program in the DRC, driving data-backed strategies to achieve more impact per farmer. You will design rigorous evaluation studies, spearhead advanced statistical analysis in Stata or R, and lead a dedicated departmental team to translate data into actionable organizational decisions. Over time, this role offers a clear pathway to shaping the broader, long-term impact strategy for a rapidly scaling organization while managing and growing your own team. Responsibilities MEL Vision and Strategy Engage with in-country leadership on short-term MEL priorities Contribute to the short-term Impact Division strategy Run departmental strategy meetings and set short-term MEL priorities Develop and set departmental objectives and key results  Build consensus with all stakeholders on MEL recommendation and track and report on their implementation  Design and Implement Studies Conceptualize the key impact pathways and draft the Theory of Change  Conceptualize and develop study design, including an evaluation strategy and implementation plan Calculate the sample size and define the sample selection process, select the sample and prepare the control sheet Revise and develop  questionnaires, including stakeholder consultations Clean and analyze data Update existing and develop new analysis plans, based on previous reports and/or do files/ R scripts Edit existing cleaning .do file / R script and develop new cleaning files for complex surveys Produce summary statistics with Stata or R , Run regressions (i.e. yield drivers) and distribution analysis, with minimal errors Run more advanced analysis (PSM, PCA...), with some manager support Conceptualize and run novel impact measurement analyses, with some manager support Peer review (incl. direct reports, other country leads, etc.) do files / R scripts  Reporting Develop final survey reports and presentations (including summarizing the key findings and proposing actionable recommendations) that are of a high quality, with minimal manager support Project and Budget Management Develop overall project management dashboard for the department, with minimal oversight Develop survey specific dashboards. Monitor and ensure timely execution  Progress updates on specific tasks and related documentation Develop annual MEL budget Career Growth and Development We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career. Qualifications Across all roles, these are the general qualifications we look for . For this role specifically, you will have: Can produce written deliverables with no revision necessary Able to independently conduct highly complex analyses using inferential statistics in Excel and Stata
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