Overview
The role involves the collection, compilation, verification, research, and dissemination of energy data, and their use in modelling tools to support the Agency's work on global energy challenges.
Key Responsibilities
- Contribute to and enable the production of data and statistics as well as the development of advanced analytical models.
- Collect, process, disseminate and manage energy data and information for OECD and non-OECD countries.
- Contribute to and enable continuous improvement of methods to ensure data quality and international comparability.
- Contribute to and enable the development and implementation of robust methods for the estimation of missing values.
- Contribute to and enable the development of derived indicators and metrics.
- Contribute to and enable the identification of new data sources and collection methods.
- Maintain appropriate documentation on data series, draft methodological and technical notes.
- Keep abreast of the work of other international and national organisations and collaborate as needed.
- As needed, guide the work of more junior staff.
- Contribute to and enable the maintenance and development of statistical databases.
- Contribute to and enable the integration of new data sets into the existing data infrastructure.
- Contribute to and enable provision of guidance to internal and external users on data preparation and interpretation.
- Contribute to and enable the production of statistical and analytical publications, reports and data products.
- Maintain contacts with international organisations, members of national delegations, representatives of industry, and other institutions.
- Promote the work of the Agency externally through organising and participating in workshops, trainings and holding bilateral meetings.
- As needed, train new recruits to the energy data center on statistical methodologies and processes.
Required Experience
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 institutes, national administrations or international organisations. Additional experience would be considered an asset. Professional experience and knowledge of the energy field would be a significant advantage.
Qualifications
A university degree in fields relevant for energy data, i.e. 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.
