The OECD is a global economic forum working with 35 member countries and more than 100 emerging and developing economies to make better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. The Organisation provides a forum in which governments work together to share experiences on what drives economic, social and environmental change, seeking solutions to common problems.
The Development Co-operation Directorate (DCD) supports the OECD Development Assistance Committee (DAC) to carry out its mandate to help increase financing for development and to improve the effectiveness of development co-operation for sustainable development. Through inclusive partnerships for development, we help ensure better lives for people in the developing world by understanding development finance, strengthening the delivery of development co-operation, improving development policy, and building partnerships for development.
One of the pillars of the work at the DCD is development finance statistics. The Statistics and Development Finance Division (SDF) supports the DAC and its subsidiary body, the DAC Working Party on Development Finance Statistics (WP-STAT) in setting the standards for measuring official development assistance (ODA) and other development finance flows. SDF collects, processes, publishes and analyses statistics on development finance from DAC members, non-DAC countries, multilateral organisations and private foundations.
The OECD is a trusted provider of data on environment-related development finance. The adoption of the 2030 Agenda for Sustainable Development underlines the environmental dimension of development co-operation and the need for monitoring the scale and nature of finance in support of the objectives of the Rio Conventions. The OECD will reinforce its work in this area, with particular focus on climate change. In this context, DCD is looking for a dynamic and experienced Statistical Analyst to lead work on the tracking and analysis of environment-related development finance.
The successful candidate will work under the supervision of the Manager for Statistical Policy, Analysis and Engagement Unit under the overall guidance of the Head of the Statistics and Development Finance Division (DCD/SDF).
Analysis, methodology development and reporting
In liaison with policy experts in the Global Partnerships and Policies Division (GPP), work in collaboration with WP-STAT and ENVIRONET members and other relevant stakeholders to improve the quality, use and dissemination of Rio markers on biodiversity, climate change adaptation, climate change mitigation and desertification:
Propose methodological adjustments to Rio markers.
Support GPP in their collaboration with UNFCCC (Standing Committee on Finance) and ENV, including the Research Collaborative on Tracking Private Climate Finance.
Improve the coverage and quality of reporting on non-concessional environment-related development finance. Contribute to the development of the new measure “Total Official Support for Sustainable Development (TOSSD)” and methodology to track funding for global challenges.
Statistical tools and products (classifications)
Lead work and draft proposals on adjustments to classifications for monitoring development finance in support of the SDGs for consideration by WP-STAT focusing on purpose codes, policy markers and channels of delivery.
Explore the need to expand the scope of the current classifications in the context of the new measure under development “Total Official Support for Sustainable Development”.
In collaboration with SDF Statistical Data Collection team, contribute to:
the implementation of a system of multiple purpose codes in DAC statistics.
work of SDF to re-design online databases to reflect the modernised development finance framework.
Dissemination and liaison
Disseminate updated classifications in particular by maintaining relevant web pages.
Consult and encourage dialogue with relevant stakeholders (experts in policy areas, DAC members, non-DAC countries, multilateral organisations).
Represent SDF in meetings on Rio markers, deliver presentations and papers
Supervise the statistician in charge of the data collection on climate components from Multilateral Development Banks (MDBs) and statistical work on Rio markers (quality analyses, production of statistics, data requests).
- Carry out other related duties, as assigned.
Ideal Candidate Profile
An advanced university degree in economics, statistics, or a related discipline.
Minimum three, preferably five years of relevant experience in a bilateral or multilateral organisation involved in extending or analysing development finance.
Sound understanding of development co-operation issues and knowledge of the principles and concepts underlying the measurement of development finance flows.
Experience with the policy aspects of development co-operation statistics, and with database maintenance and data processing.
Proficiency in the use of the Microsoft Office Suite, especially Excel 2007.
Experience with SQL Query language or other statistical software applications would be an advantage.
- Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
For this role, the following competencies would be particularly important: Analytical thinking, Achievement focus, Drafting skills, and Teamwork.
Please refer to the level 3 indicators of OECD Core Competencies.
One-year fixed term appointment, with the possibility of renewal.
Depending on level of experience, monthly salary starts at either 5,600 EUR or 6,900 EUR, plus allowances based on eligibility, exempt of French income tax.
Please note, the appointment may be made at a lower grade based on the qualifications and professional experience of the selected applicant.
The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.
The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.