Overview
The United Nations Environment Programme (UNEP) seeks an Impact Measurement Consultant to build and strengthen an organization-wide impact measurement framework, conduct reviews and guidance on impact measurement assessment, and provide capacity building on impact measurement.
Tasks Summary
- Development and refinement of a organisation-sensitive methodology on impact measurement using administrative, project, programme and survey data.
- Lay out a system architecture for UNEP’s impact measurement work, including on outcomes.
- Application of advanced quantitative approaches including experimental and quasi-experimental methods, causal inference, cost-effectiveness analysis, and predictive analytics throughout the impact measurement process.
- A comprehensive review and feedback on the results from sampled projects and provide constructive and usable insights into how these may be measured.
- Development of workshops, training and coaching materials and systems development for UNEP staff on impact measurement, causal inference, and indicator development.
- Provide an overall architecture for UNEP that helps to measure, automate and set up processes for scalable impact measurement, at the institutional/systems level and includes both process flows as well as digital and human related elements in the impact measurement architecture.
- Design and implement advanced methodologies for impact measurement, including experimental and quasi-experimental approaches, causal inference, counterfactual analysis, and cost-effectiveness assessments.
- Review and enhance the quality of impact measurement system for sampled projects, providing guidance on improvements.
- Contribute to capacity building through setting up systems, and providing training and advisory support on data analysis, indicator development, impact measurement, and the use of analytical tools as necessary.
- Prepare high-quality analytical briefs, visualizations, dashboards, and presentations to inform senior decision-makers.
Experience Requirements
- Minimum 7 years of progressively responsible experience in impact measurement, data analysis, monitoring and evaluation, or applied research in institutional settings is required.
- Experience in applying experimental or quasi-experimental methods, causal inference, counterfactual analysis, and cost-effectiveness assessment is required.
- Experience delivering training and staff capacity development on data and impact measurement is highly desirable.
- Experience with AI-enabled analytics, data science tools, and quantitative modeling is desirable.
- Experience developing indicators, dashboards and business intelligence systems is desirable.
- UN system experience is desirable.
Qualification Requirements
Advanced university degree in data science, economics, statistics, public policy, development economics, applied mathematics, or a related field emphasising quantitative analysis, econometrics, causal inference and impact measurement.
