Salary
negotiable
Deadline
14 Oct 2026
Posted
24 Sep 2026
Location
Katavi, Tabora, Rukwa, and Geita region.
Job Description
Monitoring, Evaluation, Research and Learning (MERL) officer – LaTaBioCoN Project We are looking for an analytical, adaptive, and field-oriented MERL Officer. This role goes beyond standard monitoring; you will oversee data collection systems, evaluate project impacts, and manage the research and learning loop. You will ensure that field insights, CMI-led expertise, and scientific research are captured and converted into actionable knowledge.
Responsibilities
- Framework and Systems Design: Develop and implement a comprehensive MERL framework, logframe indicators, and data collection tools tailored to multi-stakeholder governance and conservation goals.
- Inclusive Data Collection: Lead field monitoring activities, ensuring data collection is strictly disaggregated by age, gender, and disability to capture social inclusion metrics accurately.
- Communication: Superior reporting and analytical writing skills, with a proven ability to translate complex data sets into simple, visual, and understandable insights for community rights-holders and government duty-bearers alike.
- Facilitate Project Learning: Design and host regular reflection and learning sessions for consortium partners, local NGOs, and civil society to adaptively manage and improve project strategies.
- Reporting and Documentation: Compile high-quality, data-driven quarterly and annual progress reports for donors, alongside drafting impact stories, case studies, and policy briefs.
- Community Feedback Loops: Establish and maintain safe, accessible accountability and feedback mechanisms within target communities and CMIs.
- Monitor and ensure adherence to ethical standard among project workers and stakeholders.
Requirements
- Proven experience designing and tracking indicators related to gender equality, youth employment, and disability inclusion.
Qualifications
- Education: A University Degree in Research, Public Policy, Statistics, Development Studies, or a related field. Professional certifications in M&E or data analytics are a strong asset.
- Experience: Not required.
- Technical Skills: Advanced proficiency in quantitative and qualitative data collection methodologies, Ai applications, mobile data collection tools (e.g., KoboToolbox, Survey Monkey), and statistical software (e.g., SPSS, Stata, or Excel Power Query).
- Social Inclusion Focus: Proven experience designing and tracking indicators related to gender equality, youth employment, and disability inclusion.
Skills
Communication: Superior reporting and analytical writing skills
with a proven ability to translate complex data sets into simple
visual
and understandable insights for community rights-holders and government duty-bearers alike.
Location