Key Responsibilities

• Support MEAL Team: Assist the MEL Officer in overseeing MEL activities across Landscapes and Country Offices.
• Filing and Documentation: Maintain a proper filing system for MEL reports and data. Ensure all documents are easily accessible.
• Data Compilation, Analysis Review and Reporting: Consolidate, clean and analyse data on programme implementation and indicators for internal and external reporting. Review entered data in databases to ensure consistency standards. Follow up on any quality control issues.
• Report Preparation: Assist in the initial drafting and review of MEL factsheet reports, memos, and other narrative reports. Liaise with field teams to ensure all queries are addressed.
• Lessons Learned: Support the identification and documentation of lessons learned and best practices.
• Data Collection: Assist in the development and implementation of data collection tools and methodologies (e.g., surveys, focus group discussions, key informant interviews).
• Monitoring and Evaluation: Participate in the monitoring and evaluation of ongoing projects, including baseline, mid-term, post-distribution monitoring and endline assessments.
• Database Maintenance: Assist in the management of internal projects, Landscapes and CO’s databases and dashboard ensuring that relevant data on the implementation of projects are captured and organized.
• Field Visits: Assist the MEL Officer during field monitoring and evaluation visits or Result Oriented Missions (ROM) to monitor technical compliance and timely execution of project.
• Other Duties: Perform other duties as may be assigned by the Supervisor.

Requirements and skills

• Bachelor’s Degree (BsC) in Social Sciences, Statistics or Development Studies or Conservation related subject, or equivalent standard of education.
• Previous experience in Monitoring, Evaluation and Learning roles, preferably within conservation program context is an advantage.
• Advanced knowledge of monitoring, evaluation and learning as well as in-depth qualitative and quantitative research.
• You are proficient in data analysis tools such as Excel, R, Tableau, SPSS, Survey123 or similar software.
• You work independently, accurately, with an eye for detail and enjoy working in a team (also working with virtual teams).
• You are able to maintain high standards of accuracy in data collection and reporting.
• You feel confident in using MS Office (especially Word, Excel (eg Pivot Table), Outlook, Teams) and familiar with ArcGIS .
• You work proactively and conscientiously, and you have strong analytical and problem-solving skills.
• You have strong communication and organizational skills.
• Language Skills: You are proficient in English and French (ability to understand, summarise and translate (from French to English) donor documents, ability to join external meetings/discussions in both languages
• You are willingly to learn and adapt to new challenges and environments.
• You are culturally aware and able to work effectively in various cultural environments.
• You adhere to AWF’s values.