Statistics Team Lead

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.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 OECD.As a core component of its mandate, the IEA collects a broad portfolio of energy statistics to monitor developments in the energy sector and to provide to its Members and beyond a sound basis for policy recommendations. To support transitions to clean energy, the IEA seeks a statistics team lead to co-ordinate workstreams within the Energy Data Centre (EDC).Job DescriptionMain ResponsibilitiesProvide support to the Head of Section and the Chief Statistician across core energy statistics for all fuels, and energy balances.Contribute to the design and deliver the workplan of data releases in the area of core energy statistics and balances, including preparation of appropriate metadata.Supervise and train junior staff across the portfolio of annual energy statistics, providing opportunities for development, regular feedback and coaching.Organise, oversee and deliver training on energy statistics as required.Aim to ensure that energy data and indicators are enhanced across all regions, with particular focus on non-Member countries.Explore innovative methods to both modernise and increase the robustness of energy data and indicators.Co-operate with the appropriate analytical and policy teams within the IEA to ensure core energy statistics and balances are well integrated into the Agency’s work.Provide inputs to the development, modernization, and maintenance of the IT infrastructure used within the Section.Participate in preparations for and contribute to meetings of IEA standing committees, working parties and other groups as required.Provide support on dissemination of relevant statistical outputs published on the IEA website.Maintain contacts with members of national delegations, other international organisations, representatives of industry, and other institutions.Promote the work of the Agency externally through organising and participating in workshops and making presentations.QualificationsAcademic BackgroundPreferable an advanced university degree in a topic relevant to working on energy statistics.Professional BackgroundAt least five years of experience in energy data, preferably in an international context.Deep understanding of the energy sector and of international recommendations on energy statistics.Demonstrated capability to plan and manage projects; supervise and train junior staff.Demonstrated ability to explore innovative options to deliver data and data-based analytical products.Demonstrated ability to improve data and indicators by using well-founded estimation methods.ToolsExperience with relevant coding languages (e.g. Python, R), data visualisation tools (e.g. Power BI, Tableau) and database management (SQL).Core CompetenciesOECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes.LanguagesFluency in one of the two OECD official languages (English and French) and knowledge of the other.Knowledge of other languages would be an asset.Additional InformationClosing Date: This vacancy will be filled as soon as possible, and applications should reach us no later than midnight 27 October 2024 (CEST).Contract Duration 13-month fixed term appointment, with the possibility of renewal.Selection Process For retained candidates, written tests/video-recorded interviews are foreseen in November and panel interviews are planned for December/January.The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates. #J-18808-Ljbffr