Monitoring, Evaluation & Learning Officer

This is an opportunity to shape the MEL function at a growing organization. The MEL Officer will lead Vermi-Farm Initiative's monitoring, evaluation, and learning work and help build a system that is practical for field teams, useful for management decisions, and credible for partners and funders.

The role combines systems-building, data quality, field monitoring, analysis, reporting, and learning. The successful candidate will help move from partly fragmented data practices toward a more structured and scalable MEL system.

• Build and strengthen the MEL system: Design and roll out a practical MEL framework, indicators, and tools that fit how Vermi-Farm operates and can scale.
• 
  
• Set up and improve the farmer registry: Help establish a reliable source of truth for farmer profiles, participation, service uptake, and outcomes.
• 
  
• Lead routine monitoring and data quality: Coordinate data collection across field teams and Village Champions, run data quality checks, and support consistent tool use.
• 
  
• Support outcome measurement and learning: Analyze program results, compare intervention patterns, and translate findings into practical recommendations.
• 
  
• Produce reports and dashboards: Develop regular dashboards and reporting packs for management, board review, and external reporting.
• 
  
• Strengthen farmer feedback: Create practical ways for farmers to share their experience and ensure feedback informs program improvement.

What Success Looks Like in Year 1

A clear MEL improvement roadmap and core indicator set

Standardized farmer enrollment and baseline tools

A functioning farmer registry for priority programs

Regular data quality reviews and correction workflows

Seasonal follow-up tracking for selected farmer groups

Integrated dashboards and routine MEL reporting

Stronger alignment between program, finance, and performance data

Learning outputs that improve programs and management decisions

.

A Bachelor's degree in MEL, Statistics, Economics, Social Sciences, Public Policy, Data Science, Agriculture, or a strong analytical discipline. A Master's degree is an advantage.

• 
  
• 3–5 years of relevant experience in MEL, research, or data systems
• Strong quantitative and qualitative analytical skills
• Practical experience supporting field-based data collection
• Experience with Excel, Power BI, KoboToolbox, ODK, Airtable, or related systems
• Ability to turn data into clear and useful insights
• Strong writing and communication skills
• Ability to train and support non-technical teams