Programme Management Officer

The Programme Management Officer supports the delivery of the International Resource Panel's work programme by organizing and analyzing statistical data related to material flow accounts and sustainable development. The role involves developing models, providing technical support and training, preparing reports, and coordinating budget and funding activities within the UNEP Industry and Economy Division.

Responsibilities

• Organizes, designs, plans and carries out the collection, estimation, evaluation, analysis, compilation and dissemination of statistical data on Economy-Wide Material Flow Accounts (EW-MFA) and other relevant data.
• Improves existing and develops new statistical quantitative and qualitative models, and projections to support EW-MFA or other relevant analysis.
• Participates in the management of EW-MFA database and other statistical database(s).
• Provides training and technical support to National Statistical Offices, Ministries of Environment and other national stakeholders on data collection programmes, country practices and other information related to EW-MFA.
• Provides feedback and advice to National Statistical Offices, Ministries of Environment and other stakeholders at the national, regional and global levels on data published in IRP’s Global Material Flows Database (GMFD), Sustainable Consumption and Production Hotspot Analysis Tool (SCP-HAT) and data obtained through the Global Footprint Tool.
• Prepares various written outputs, e.g. draft background papers, analysis, sections of reports and studies, inputs to publications.
• Participates in the development or revision of standards on statistical concepts, definitions, and classifications by performing methodological research on sustainable use of materials and environmental impacts throughout the full life cycle.
• Organizes and participates in seminars, working groups and expert meetings as a technical resource person.
• Undertakes outreach activities on EW-MFA and other relevant data and tools.
• Guides, trains and supervises junior staff.
• Coordinates activities related to budget and funding (programme/project preparation and submissions, progress reports, financial statements) and prepares related documents/reports (pledging, work programme, programme budget).
• Collects and analyzes 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.
• Performs other duties as required.

Requirements

• Advanced university degree (Master’s degree or equivalent) in statistics, mathematics, or economics 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 programs in data analytics, business analytics or data science programs is desirable.
• A minimum of five (5) years of progressively responsible experience in the collection, compilation, analysis and dissemination of statistical data, ideally applied to material flow analysis or sustainable development is required.
• Proven experience in analyzing and interpreting data and developing briefs tailored to different audiences is required.
• Proven experience in modeling sustainable consumption and production and circular economy scenarios is required.
• Experience in an international organization is desirable.
• Two (2) years or more of experience in data analytics or related area is desirable.
• Knowledge of statistical principles, practices, standards, and classifications.
• Knowledge of modelling, as well as statistical programmes (e.g. SAS, R software, Matlab, SPSS, or similar) and/or statistical programming languages (e.g.Python, Javascript, or similar) to analyze and evaluate complex data and advise statisticians and users.
• Capable of writing complex reports/papers for publication.
• Ability to formulate new technical approaches with respect to statistical development.
• Ability to analyze and interpret data in support of decision-making and convey resulting information to management.
• Ability to incorporate gender perspectives and ensure equal participation of women and men in all areas of work.

Skills

• Statistical Analysis
• Material Flow Analysis
• Sustainable Development Analysis
• Data Analytics
• Business Analytics
• Data Science
• Statistical Modelling
• Sustainable Consumption Modelling
• Circular Economy Modelling
• Statistical Programming
• SAS
• R Software
• Matlab
• SPSS
• Python Programming