Master's degree (required) in Monitoring & Evaluation, Statistics, Data Science, Economics, Environmental Science, Conservation Science, Development Studies, or an applied social science discipline.
Advanced training in data analytics is a strong advantage.
Experience
Minimum 8–10 years of progressively responsible MEL experience, with at least 3–5 years in a senior or managerial role within conservation, natural resource management, or international development organizations.
Demonstrated experience designing and managing enterprise-level MEL systems, including institutional indicators and aggregation frameworks.
Strong track record in data analytics, including use of statistical software, dashboards, and data visualization for decision-making.
Proven expertise in data quality assurance, methodological integrity, and evaluation management.
Experience supporting programme and project design, including results frameworks, theories of change, and MEL plans.
Experience working in matrixed, multi-country organizations with decentralized implementation structures.
Technical Competencies
Advanced quantitative and qualitative analysis skills; ability to translate complex data into clear insights.
Strong understanding of impact evaluation approaches, contribution analysis, and adaptive management.
Proficiency with data platforms, MEL databases and visualization software (e.g., Power BI, Tableau, or equivalent).
GK
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