Monitoring, Evaluation and Learning (MEL) Intern, INCLUDE Project

• PositionMonitoring, Evaluation and Learning (MEL) intern – Fort portal, INCLUDE Project.
• CompanySNV
• LocationFort Portal, Uganda
• Job TypeInternship
• CategoryNGO Jobs in Uganda
• IndustryInternational development
• DepartmentAgrifood
• DeadlineMonday, 09 November 2026

SNV is a global development partner working across agri-food, energy and water systems. Its work combines technical and process expertise with partnerships, capacity strengthening and attention to gender equality, social inclusion and climate resilience.

SNV has worked in Uganda since 1989 and operates through a country office in Kampala and regional offices including Fort Portal. The organisation says its Uganda programmes work with public agencies, businesses and other partners across more than 100 districts.

The MEL intern will support the INCLUDE project’s MEL function by collecting, checking and using high-quality data from field activities. The project supports 90,000 smallholder farmers across 10 districts through sustainable livestock production and inclusive markets.

This role is practical and field-linked: it combines data-quality assessments, source-document checks, coaching for field teams, routine reporting and review meetings. The intern will work with LSPs, CBFs, district teams and the wider MEL team, and may travel across assigned districts to connect reported results with field reality.

• 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.
• Monitor field activities delivered by Local Service Providers and Community-Based Facilitators.
• Observe sessions, spot-check farmer registration and VLLG records against source documents, and confirm reported figures match field reality.
• Compile monitoring data into clean datasets and draft inputs for routine and quarterly reports.
• Prepare simple tables and charts that trace back to source files.
• Coach LSP and CBF teams on data collection tools, mobile data entry and record management.
• Give practical feedback that improves the quality of submitted data.
• Support review meetings, pause-and-reflect sessions and feedback to district teams so evidence informs decisions and corrective action.
• Keep field MEL records, filing and the data audit trail current and well organised.

Required Education

• Bachelor’s degree in Statistics, Computer Science, Information Technology or Agriculture.

Work Experience

• At least two years of experience in MEL activities within development programmes.

Additional Requirements

• Practical experience with digital data collection platforms, LogAlto or an equivalent such as ODK or KoboToolbox.
• Strong Excel and data-management skills.
• Working knowledge of SPSS, Stata, R or Power BI is an added advantage.
• 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.

Technical Skills

• Digital data platforms: Use LogAlto or equivalent platforms such as ODK or KoboToolbox.
• Excel and data management: Strong Excel and data-management skills.
• Analysis and visualisation: SPSS, Stata, R or Power BI knowledge is an added advantage.

Soft Skills

• Accuracy: Be accurate and detail-focused with data and documentation.
• Coaching communication: Coach field teams with patience and respect.
• Organisation: Keep records, filing and audit trails well organised.
• Independence: Work independently in field conditions and travel across assigned districts.

SNV states a challenging work environment, opportunities to lead and innovate, skills growth and participation in an international network of experts. Employee benefits beyond these statements are not stated in the advert.

• Work on the INCLUDE Project’s farmer-focused MEL function.
• Gain practical experience with field data quality assessments.
• Engage with LSP and CBF teams.
• Contribute to routine and quarterly reporting.
• Support evidence-based review and corrective action.
• Use digital data platforms and data-management tools.
• Work within SNV’s Uganda development programme environment.

Upload your CV and motivation letter in English on SmartRecruiters: https://jobs.smartrecruiters.com/snv/744000158060068.

• Name the digital data platforms you have used, especially LogAlto, ODK or KoboToolbox.
• Show strong Excel and data-management experience on your CV.
• Include examples of checking data accuracy, completeness and consistency.
• Mention any SPSS, Stata, R or Power BI knowledge.
• Demonstrate clear communication or coaching of field teams.
• Confirm your ability to travel across assigned districts and communicate in a relevant regional language.
• Upload your CV and motivation letter in English through SmartRecruiters before 09 November 2026.