Education

• Advanced university degree (Master's degree or equivalent) in data science, economics, statistics, development economics, public policy, applied mathematics or related social science field with a demonstrated emphasis on advanced quantitative analysis, econometrics, causal inference and impact measurement, is required.
  
• A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
  
• Successful completion of both degree and non-degree programmes in data analytics, business analytics, machine learning or data sciences programmes is desirable.
  

Work Experience

• A minimum of seven (7) years of progressively responsible experience in data analysis and synthesis, impact measurement in developing contexts is required.
  
• Experience in the application of advanced quantitative and qualitative methods (e.g. experimental or quasi-experimental approaches, counterfactuals, cost-effectiveness analysis) and the use of institutional, administrative, or survey-level data for decision-making and programme performance assessment is required.
  
• Experience leading corporate reporting processes, including drafting, editing, and synthesizing inputs for senior management or governing bodies, is required.
  
• Experience with AI-enabled data analytics is required. Application of data science tools for programme performance or impact assessment is desirable
  
• Experience in the UN system or a similar international organisation is desirable.
  
• Experience in designing and implementing corporate or programme-level business review processes, including the development of indicators, dashboards, analytical products, or organisational health assessments, is desirable. Experience in development and implementing strategic plans, programmes of work, or corporate monitoring frameworks is desirable.
  
• Experience facilitating capacity development on impact measurement and data literacy is desirable.
  

• Contribute to the design and use of better business intelligence systems, processes and tools to enable teams across the organization to access and utilize the data and information they need to effectively and adaptively manage their programmes and projects.
  
• Coordinate teams in UNEP to strengthen staff capacities in data analysis, indicator development, and the use of advanced monitoring and evaluation tools, including AI-driven solutions. Lead efforts to improve the design of initiatives, enabling better selection and use of progress and performance data for adaptive management and ultimately greater impact.
  
• Provide expert guidance and training on impact measurement methods, including the use of counterfactual analysis, randomization, and quasi-experimental approaches, to assess the effectiveness and value-for-money of UNEP programmes and projects.
  
• Promote awareness and understanding of the shared responsibility for programme monitoring and reporting among all staff members through communication, training, learning and development activities.
  
• Contribute to strategic planning exercises for the development of Programmes of Work and the Medium-Term Strategies, as well as strategic framework documents for the UN Secretariat in New York.
  
• Collect and analyse data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting.
  
• Perform other related duties as assigned.