Junior Data Analyst – Policy Indicators (several positions) -Temporary Assignment
The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, that works to build 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. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.
The Environment Directorate (ENV) supports governments in identifying and implementing the environmental policies needed to support a cleaner, more resource-efficient and low-carbon green growth path. The ENV team is made up of environmental economists, analysts and scientists who collect data, develop indicators, review country performance, undertake cross-country analysis and provide policy recommendations.
We are looking for junior data analysts to work with the Environmental Performance and Information (EPI) Division to support its work on the International Programme for Action on Climate (IPAC) and work on tracking environmental policy instruments (PINE). The selected candidate will assist in the collection, treatment and documentation of policy-related data, in the management and updating of the associated databases, in the development of innovative methodologies for policy indicators, and in the preparation of related statistical and indicator-based reports. She or he will be part of a team of analysts, statisticians, data scientists and, and will work under the supervision of a senior economist and the Head of Division.
- Collection and treatment of policy microdata; Database management
- Contribute to the Division’s data collection efforts on environmental and climate policies. Assist in daily management of the relevant databases of policy microdata (e.g. PINE, ERTR).
- Check data for completeness, consistency and plausibility. Liaise with data providers to resolve data anomalies and definitional issues and ensure best use and interpretation of the available data.
- Create and maintain documentation (metadata) on the data sources and the methods by which input data have been processed.
- Conduct analysis to support the development of new or improved policy response indicators. Assist in developing state-of-the-art indicator methodologies.
- Assist in the development of the OECD Climate Policy Index, capturing a wide range of climate instruments and regulations, identifying suitable policy microdata and building an infrastructure to ensure regular updates of the indicator in the future.
- Support the further development of the OECD indicators on Environmentally-Related Taxes (revenue, tax rates, etc) and other market-based policy instruments.
- Dissemination and communication
- Contribute to the development of tools and products to disseminate data, indicators and analytical results (OECD.Stat, Environment at a Glance, Climate data repository, OECD Climate hub, etc).
- Contribute to drafting statistical and indicator-based reports to support the Division’s deliverables.
- Carry out other related tasks as may be required in the Division.
Ideal Candidate Profile
- An advanced university degree in environmental economics, climate policy, energy policy, or related field with a strong quantitative component (statistics, econometrics).
- Two years of proven experience in quantitative data analysis of environmental, climate or related sectoral policies.
- Experience in data treatment, interpretation and use, in developing graphical representations of the data, and in the preparation of statistical documents and reports.
- Familiarity with data related to climate and the environment is required.
- Good knowledge of environmental and climate policies in countries and at the international level would be an advantage.
Technical and Quantitative Skills:
- Excellent knowledge of state-of-the-art methods for quantitative data analysis. Hands-on experience with conducting statistical analysis is required.
- Excellent command of STATA, Python, R or similar analytical software and scripting languages.
- Knowledge of database management, data modelling, experience with managing large computerised databases and familiarity with database programming software (preferably SQL Server) would be an advantage.
- Ability to work independently and to adapt to new analytical techniques.
- Familiarity with development good-practices (well-structured, modular code) and version control tools (e.g. git, OECD’s Algobank) would be an advantage.
- Experience with data visualization and creativity in summarising complex datasets to communicate key messages to different audiences (e.g. experts and non-experts).
- Fluency in one of the two OECD official languages (English and French) and a working knowledge of, or willingness to learn, the other. Knowledge of other languages would be an asset.
- Please refer to the full list of OECD Core Competencies and the level 2 indicators.
- For this role, the following competencies would be particularly important: Achievement focus, Analytical thinking, Drafting skills, Flexible thinking, Teamwork, Client focus
- Passion for identifying and solving problems
- One year][renewable]
- Ideal start date: October 2021
- Salary and conditions will depend on the experience of the selected candidate as well as on her/his status (temporary staff or official).
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.