Monitoring, Evaluation, Research and Learning (MERL) Intern

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    "datePosted": "2026-03-06",
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    "description": "<p><span style=\"font-weight: bold\">This position is open to candidates based in Senegal only</span></p>\n<p><span style=\"font-weight: bold\">Monitoring, Evaluation, Research and Learning (MERL) Intern (1 position)</span></p>\n<p><span style=\"font-weight: bold\">Mennonite Economic Development Associates (MEDA)</span> invites applications for <span style=\"font-weight: bold\">MERL Intern</span> to support the <em>Mastercard Foundation Africa Growth Fund</em>. The internships offers a strong opportunity for early‑career professionals to gain hands‑on experience in data analysis, visualization, and learning within a leading international development organization committed to creating business solutions to poverty.</p>\n<p>MEDA’s work is grounded in Mennonite business roots and faith‑based values, aligned with the UN Sustainable Development Goals. Through a market‑systems approach and strategic partnerships, MEDA enables inclusive economic growth, access to finance, and decent work for women, youth, and marginalized populations. To learn more about MEDA, visit <span style=\"font-weight: bold\">www.meda.org</span>.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">POSITION SUMMARY</span></p>\n<p>The MERL Intern will support MEDA’s Monitoring, Evaluation, Research, and Learning (MERL) function by contributing to data management, analysis, visualization, and insight generation for the <em>Mastercard Foundation Africa Growth Fund</em>.</p>\n<p>Working closely with the <span style=\"font-weight: bold\">MERL Specialist</span> and <span style=\"font-weight: bold\">Data Systems Analyst</span>, the intern will help transform complex datasets into clear dashboards, charts, and PowerPoint‑based insights that strengthen evidence‑based decision‑making, learning, and donor reporting.</p>\n<p>This role is well‑suited for candidates with strong analytical skills, high attention to detail, and an interest in impact measurement, learning, and data‑driven development programming.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">JOB STATUS</span></p>\n<ul>\n<li>Internship (6 months, with possibility of renewal based on performance and funding)</li>\n<li>Full‑time or part‑time arrangement to be confirmed</li>\n<li>Start date:  As soon as possible</li>\n<li>Location(s): <span style=\"text-decoration: underline\">Candidate should be based in Senegal</span></li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">REPORTING LINE</span></p>\n<p>The MERL Intern will report to the Monitoring and Evaluation Leads and work closely with the Data Systems Analyst.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">MAIN RESPONSIBILITIES</span></p>\n<ol>\n<li><span style=\"font-weight: bold\"> Data Management and Analysis (40%)</span></li>\n</ol>\n<ul>\n<li>Support data cleaning, validation, and quality assurance across multiple datasets</li>\n<li>Organize and analyze data using Microsoft Excel and other analytical tools to identify trends, gaps, inconsistencies, and data quality issues</li>\n<li>Support basic statistical analysis and interpretation of key performance and impact indicators</li>\n<li>Document data issues and contribute to continuous improvement of data quality processes</li>\n</ul>\n<p> </p>\n<ol>\n<li><span style=\"font-weight: bold\"> Data Visualization and Insight Generation (30%)</span></li>\n</ol>\n<ul>\n<li>Develop clear and accurate charts, graphs, and tables that communicate results effectively</li>\n<li>Support the development of dashboards and summary visualizations for internal and external reporting</li>\n<li>Translate complex datasets into concise insights, key messages, and learning points for diverse stakeholders</li>\n</ul>\n<p> </p>\n<ol>\n<li><span style=\"font-weight: bold\"> PowerPoint Reporting and Knowledge Products (20%)</span></li>\n</ol>\n<ul>\n<li>Prepare PowerPoint slides that present data insights in a clean, professional, and MEDA‑aligned format</li>\n<li>Support the development of quarterly reports, learning briefs, and executive summary decks</li>\n<li>Ensure accuracy, consistency, and clarity of figures, titles, and visuals across reporting products</li>\n</ul>\n<p> </p>\n<ol>\n<li><span style=\"font-weight: bold\"> Support to MERL Reporting and Learning (10%)</span></li>\n</ol>\n<ul>\n<li>Assist with indicator tracking, performance summaries, and internal data requests</li>\n<li>Support the review of outcome narratives by validating claims against available data and evidence</li>\n<li>Contribute to internal learning discussions and ad‑hoc analytical tasks as required</li>\n<li>Carry out additional duties as assigned in line with the evolving needs of the initiative</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">REQUIRED QUALIFICATIONS</span></p>\n<ul>\n<li>Currently enrolled in or recently completed a degree in economics, statistics, data science, development studies, public policy, or a related field</li>\n<li>Strong working knowledge of <span style=\"font-weight: bold\">Microsoft Excel</span> and <span style=\"font-weight: bold\">PowerPoint</span> for analysis and reporting</li>\n<li>High attention to detail and commitment to data accuracy and integrity</li>\n<li>Strong analytical, organizational, and problem‑solving skills</li>\n<li>Ability to communicate data insights clearly to non‑technical audiences</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">PREFERRED QUALIFICATIONS</span></p>\n<ul>\n<li>Experience using <span style=\"font-weight: bold\">Power BI</span> or similar data visualization tools</li>\n<li>Basic knowledge of statistics and impact measurement indicators</li>\n<li>Familiarity with Monitoring and Evaluation concepts and frameworks</li>\n<li>Experience using <span style=\"font-weight: bold\">Stata, R, Python, or SPSS</span> is an asset</li>\n<li>Fluency in <span style=\"font-weight: bold\">both English and French</span> (written and spoken) is strongly preferred</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">CORE COMPETENCIES</span></p>\n<ul>\n<li>Integrity and professionalism in handling sensitive data</li>\n<li>Strong time management skills and ability to meet deadlines</li>\n<li>Collaborative work style and willingness to learn</li>\n<li>Interest in evidence‑based decision‑making and development impact</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">APPLICATION DEADLINE: April 6, 2026 @ 5:00 pm GMT.</span></p>\n<p> </p>\n<p><em>MEDA welcomes and encourages applications from all genders, backgrounds, religions, cultures, nationalities and abilities.  </em></p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Female candidates are strongly encouraged to apply</span></p>\n<p><br><br></p>\n<p><em>Accommodations are available on request for candidates with disabilities taking part in the selection process. </em></p>\n<p> </p>\n<p><em>MEDA is not in a position to sponsor or assist candidates in obtaining work permits. Employees are required to establish that they will be able to work legally in the country the role is in, during the course of employment. </em></p>\n<p> </p>\n<p><em>MEDA does not use AI for screening, assessing or selecting applicants </em></p>\n<p> </p>",
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