监测、评估与学习（MEL）实习生 - INCLUDE项目

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.

Job Description

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

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.

Additional Information

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.

How to apply

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.

Working at SNV

We offer a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from and contribute to an international global network of experts. For more information, please visit our website: www.snv.org.

NB: only shortlisted candidates will be contacted.

We do not appreciate third-party mediation based on this advertisement.