Monitoring, Evaluation, Research and Learning Data Manager
Members only
Kenya
Est. KES 180,000 – 280,000/moEst.
On-siteFull-timeSenior
Posted yesterday
What you bring
Academic Qualifications and Certifications
Bachelor's degree in Data Science, Statistics, Computer Science, Monitoring and Evaluation, Agricultural Economics, Environmental Science, Social Sciences or a related field. A Masters' Degree will be an added advantage.
Professional certification in Monitoring & Evaluation, Results-Based Management (RBM), Data Analytics, GIS for spatial analysis, Business Intelligence (e.g Power BI/Tableau), Database Management, or Project Management (PMP/PRINCE2) will be an added advantage.
Experience Requirements
Minimum of 10 years' experience in monitoring, evaluation, research, learning, data management, business intelligence or programme analytics within the development, agriculture, climate, environmental or related sectors.
Proven experience developing and managing Management Information Systems (MIS), programme databases, dashboards and automated reporting solutions.
Strong experience in data cleaning, validation, transformation, migration, integration, and quality assurance.
Demonstrated experience administering digital data collection platforms such as ODK, KoboToolbox, SurveyCTO, CommCare or similar technologies.
Experience using Power BI, Tableau, Excel Power Query, SQL, ArcGIS or similar analytical and visualization tools.
Experience supporting donor-funded programmes through programme monitoring, data management, and results reporting.
Experience conducting quantitative and qualitative data analysis and translating findings into actionable programme insights.
Knowledge of statistical software such as SPSS, R, Python, or Stata will be an added advantage.
Experience in agriculture, climate resilience, natural resource management, environmental conservation, renewable energy, or rural development programmes will be an added advantage.
Key Technical Skills and Leadership Competencies
Strong analytical and data interpretation skills.
Proficiency in MERL tools, methodologies and technologies.
Results-oriented with strong attention to detail.
High integrity, accountability and commitment to learning.
GK
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