Vacancy title:
Monitoring, Evaluation and Learning (MEL) intern
Employment type: INTERN, Industry: Professional Services, Category: Social Services & Nonprofit, Business Operations, Science & Engineering, Computer & IT, Agribusiness, Agricultural Services & Products
Jobs at:
SNV
Deadline of this Job:
Monday, November 9 2026
Duty Station:
Kampala | Kampala
Summary
Date Posted: Wednesday, October 28 2026, Base Salary: Not Disclosed
JOB DETAILS:
SNV Uganda
SNV is a mission-driven global development partner with more than 60 years of experience strengthening agri-food, energy and water systems across Africa and Asia. Working at the intersection of climate resilience, gender equality and social inclusion, and strong institutions and effective governance, SNV helps people pursue equitable and sustainable livelihoods while contributing to resilient and inclusive societies.
SNV has been working in Uganda for more than 35 years and partners with government, the private sector, civil society, communities and development partners to deliver innovative and scalable approaches that improve food security and nutrition, expand access to sustainable energy, and strengthen water, sanitation and hygiene services. Through its Country Office in Kampala and regional offices in Fort Portal, Rukungiri, Jinja, Gulu and Lira, SNV implements programmes across more than 100 districts nationwide, creating sustainable impact at scale.
At SNV, our people drive our impact. We are committed to fostering an inclusive, diverse and purpose-driven workplace where talented professionals can grow, collaborate and contribute to lasting development outcomes for communities across Uganda and beyond.
For more information, visit our website: http://www.snv.org.
Background
INCLUDE supports 90,000 smallholder farmers across 10 districts in four sub-regions through sustainable livestock production and inclusive markets. SNV delivers the project with EKN funding from April 2024 to March 2029. The MEL function tracks results against the EKN Result Framework and the FNS IGG indicators and turns field data into learning that shapes delivery.
Purpose of the position
He/she will support the MEL team in collecting, checking and using high-quality data from field activities. Works closely with Local Service Providers (LSPs) and Community-Based Facilitators (CBFs), verifies their records, coaches them on correct methods, and helps the team report accurate results on time.
Key responsibilities
- Data quality. Run scheduled data quality assessments on LogAlto and field records. Check accuracy, completeness, timeliness and consistency, and flag errors, duplicates and missing fields for correction.
- Field monitoring. Monitor field activities delivered by LSPs and CBFs. Observe sessions, spot-check farmer registration and VLLG records against source documents, and confirm that reported figures match field reality.
- Reporting. Compile monitoring data into clean datasets and draft inputs for routine, quarterly reports. Prepare simple tables and charts that trace back to source files.
- Coaching. Coach LSP and CBF teams on data collection tools, mobile data entry and record management. Give practical feedback that improves the quality of what they submit.
- Data use. Support review meetings, pause-and-reflect sessions and feedback to district teams, so that evidence informs decisions and corrective action.
- Records. Keep field MEL records, filing, and the data audit trail current and well organised.
Qualifications and experience
- Bachelor’s degree in Statistics, Computer Science, Information Technology or Agriculture.
- At least two years of experience in MEL activities within development programmes.
- Practical experience with digital data collection platforms, LogAlto or an equivalent such as ODK or KoboToolbox.
- Strong skills in Excel and data management. Working knowledge of a statistical or visualisation tool (SPSS, Stata, R or Power BI) is an added advantage.
Competencies
- Accurate, detail-focused and organised with data and documentation.
- Clear communicator who coaches field teams with patience and respect.
- Able to work independently in field conditions and travel across assigned districts.
- Fluent in English and a relevant regional language for the assigned sub-region.
Work Hours: 8
Experience in Months: 24
Level of Education: bachelor degree
Job application procedure
If you believe that your credentials meet the outlined profile, we invite you to apply by uploading your CV and motivation letter in English on Smart Recruiters. Deadline is Monday 9th November 2026.
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