One Acre Fund is a nonprofit organization that supplies smallholder farmers in East Africa with asset-based financing and agriculture training services to reduce hunger and poverty. Headquartered in Bungoma, Kenya, the organization works with farmers in rural villages throughout Kenya, Rwanda, Burundi, Tanzania and recently Malawi. Using a market-based approach, One Acre Fund facilitates activities and transactions at various levels of the farming value chain, including seed sourcing and market support. In 2013, farmers who worked with One Acre Fund realized a 180% return on their investment and significantly increased farm income on every planted acre.
Role Summary
- The Monitoring Evaluation and Learning Enumerator will support field survey implementation and data collection activities. The role involves working closely with Field Supervisors, the MNE Field Coordinator and the MNE Senior Data Coordinator. The successful candidate will report directly to the MNE Field Supervisor.
Key Responsibilities
- Conduct assigned field surveys and data collection activities in line with Monitoring Evaluation and Learning plans
- Collect accurate and timely quantitative and qualitative data using approved digital data collection tools
- Administer surveys according to standard operating procedures, training guidelines, and ethical research standards
- Plan and carry out daily field activities to meet survey targets and timelines
- Participate in required trainings, briefings, pilots, and debrief sessions
- Submit completed surveys on time and provide regular field updates to supervisors
- Identify and report data inconsistencies and operational challenges
- Uphold safeguarding principles and ensure confidentiality and secure handling of data
- Engage respectfully with farmers and community stakeholders
- Support data quality assurance activities including spot checks and follow up interviews
- Work safely in rural and hard to reach locations
Work Schedule
- This is a full time onsite role. Deployment will be based on operational needs and supervisor assignment.
Qualifications and Requirements
- Minimum of a diploma or degree in Social Sciences, Agriculture, Economics, Development Studies, Statistics, or a related field
- Experience using digital data collection tools such as CommCare, ODK, SurveyCTO, or KoboToolbox
- Proven experience engaging rural communities in the state of application
- Strong attention to detail and commitment to data quality
- Fluency in at least one relevant local language including Hausa, Nupe, Yoruba, or other dominant local languages
- Ability to work on a fixed term basis and meet project timelines
- Strong computer and report writing skills are an added advantage
- Relocation support is not available
- Female candidates are strongly encouraged to apply
- Application Link in the comment section
Method of Application
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