Monitoring, Evaluation + Learning (MEL) Coordinator

About the role

Compassionate Carbon Tanzania, a forest carbon project developer working on landscape-scale restoration and REDD+, is looking for a Monitoring, Evaluation + Learning (MEL) Coordinator. The role connects field implementation with the information needed to track progress, learn and improve, strengthening monitoring systems and building the capacity of field teams and community-based data collectors. It reports to the MEL + Data Quality Manager and works across Forest Protection, Livelihoods, Forest Restoration and Community/Stakeholder Engagement workstreams.

Key responsibilities

• Develop, adapt and maintain monitoring tools, forms, guidelines and SOPs, and keep monitoring records organized, secure, traceable and audit-ready; support EarthRanger and other data collection systems.
• Coordinate monthly and quarterly data collection with Program Managers, field teams and community-based data collectors so data is complete, consistent and on time.
• Carry out routine QA/QC, including completeness and validation checks, spot checks and field verification, and resolve data gaps with Program Managers and data collectors.
• Clean, compile and analyse monitoring data, then prepare monitoring summaries and contribute verified data to project reporting, learning reviews and carbon-standard verification.
• Train and coach field staff, enumerators and community-based data collectors on monitoring procedures, tools and data-quality expectations, and revise training materials as needed.
• Work with the MRV + Data Quality Manager, Program Managers, field teams, communities and government stakeholders to integrate monitoring into field activities.

Required profile

• Bachelor's degree in Agriculture, Forestry, Natural Resource Management, Environmental Science or a related field.
• At least 3 years of experience in monitoring and evaluation, field data collection or data management.
• Prior experience in natural resources, conservation, forestry, agriculture or rural development projects is preferred.
• Demonstrated experience coordinating or supervising enumerators, data clerks, community-based data collectors or field teams, and training them in data collection methods and quality requirements.
• Experience with digital data collection tools such as KoBoToolbox, ODK or Survey123.
• Experience with data cleaning, validation, routine analysis and report preparation; additional training or certification in Monitoring + Evaluation is an advantage.

Required skills

• Understanding of monitoring and evaluation concepts, indicators, baselines, data quality and results tracking.
• Strong analytical and data-management skills, including data cleaning, validation and interpretation.
• Attention to detail and ability to apply QA/QC procedures consistently.
• Training and facilitation skills, and clear written and verbal communication.
• Proficiency in Microsoft Office, especially Excel, and comfort with smartphones, tablets, GPS devices and digital data collection systems.

The role combines office and field work, including visits to forested and rural project sites, with occasional flexibility outside standard hours and moderate physical fitness for fieldwork.