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.
Responsibilities:
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 data and policy experts worldwide.
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.
Requirements:
A advanced university degree in fields relevant for energy data, i.e. energy, statistics, data science, economics, mathematics, computer science, information technology, engineering, physics, environmental studies. A postgraduate degree in one of these fields would be an advantage.
At least two years to three years of experience in the production and/or use of data or statistics gained in the private sector, university, public research institute, national administration or international organisation. Additional experience would be considered an asset.
General knowledge of statistical concepts and applied data analysis techniques.
Professional experience and knowledge of the energy field would be a significant advantage.
Strong communication skills, including capacity to present technical content to non-technical audiences.
