Energy Data Officer

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 International Energy Agency (IEA) is an intergovernmental organisation committed to advancing security of energy supply, economic growth and environmental sustainability through energy policy co-operation. The IEA operates as an autonomous body within the framework of the OECD. Both the IEA and the OECD seek opportunities to work with an increasing number of non-members of growing importance to the world economy. The Agency aims to foster the contribution of the energy sector to economic development and environmental sustainability.

As a core component of its mandate, the IEA Energy Data Centre (EDC) is responsible for collecting, validating and disseminating a broad portfolio ofenergy statistics to monitor developments in the energy sector and to provide to its Members and beyond a sound basis for policy decisions. EDC seeks Energy Data Officers for the collection, compilation, verification, research and dissemination of energy data, and their use in IEA modelling tools.

The selected candidates will participate in the energy data related activities that underpin the Agency’s work on global energy challenges, including that on secure energy transitions. These activities include, but are not limited to, data on short term and annual fuel statistics, energy balances, prices, energy efficiency and innovation, GHG emissions; as well as specific research tasks associated with the development of IEA publications and data products supporting the IEA priorities. In addition, the selected candidates are expected to play a central role in the IEA’s modernization strategy, with increased emphasis on the exploitation of new data sources and the use of relevant methods and tools.

Job Description – Main Responsibilities

Data collection, validation and development

• Collect, process, validate, manage and disseminate data and information, describing different aspects of the energy system, based on a variety of sources and methods, and governed by protocols as well as legal requirements.
• Contribute to continuous improvement of methods to ensure high data quality standards for IEA data to accurately represent the evolution of energy systems globally, while meeting international data comparability requirements.
• Contribute to the implementation of robust methods for the estimation of missing values if and when necessary, and to the development of derived indicators and metrics to support tracking of energy system developments globally.
• Contribute to research, and enable the identification of new data sources (e.g. commercial, administrative, etc.) and collection methods (e.g. web-scraping) to track national and global energy systems.
• Maintain appropriate documentation on data series, and contribute to methodological and technical notes on statistics for various releases and publications, with reference to key standards such as theInternational Recommendations on Energy Statistics .
• Collaborate with partners across national administrations and other international and regional organisations (e.g. UN, Eurostat, the World Bank, etc.) on related topics.

Database management, support, dissemination and analysis

• Participate in the maintenance and development of statistical databases exploiting a modern and robust data management and visualization infrastructure (SQL, Python, Power BI, Dash and Dagster) and in developments to improve its efficiency.
• Contribute to the integration of new data sets into the existing data infrastructure including those developed from micro-data and through the use of data science methods.
• Participate in providing guidance to internal and external users on data preparation and interpretation for use in empirical analysis and modelling and contribute to addressing the changing needs of users by contributing to statistical development work.
• Participate in the production of statistical and analytical publications, reports and data products.
• Deliver presentations and training in different settings, whether classroom or online, to