Energy Data Officer
CurrentTransition of our whole data platform and analytic tools into in-house Python scripts, for > Data handling in various formats > Data analysis and validation, through graphs and compilation of multiple sources > Robust and structured data archiveGather, compile, validate and analyse data on energy end-uses and efficiency indicators > Strong datasets allow streamlined comparisons and are the basis of deeper analyses > Steering the energy debate and enhancing international collaboration > In order to help "shaping a secure and sustainable energy future for all", the goal of the IEAVarious exciting and challenging projects, including > Energy Policy and Measures database, to follow on the energy transitions > Value-Added database, to follow economic efficiency > Trainings to and collaborations with many countries, from Western Africa to Central Asia, from South America to South-East Asia > Methodology improvements, to gather, check and present stronger datasets, for instance the Energy BalancesThe energy end-uses and efficiency indicators dataset includes energy consumption data disaggregated into energy products, sub-sectors and end-uses (from space heating to appliances, from transport segment to vehicle types), and combines them with related activity data (from population to number dwellings, from value added to passenger-kilometre) into various valuable indicators.Key for the analyses of present and future end-uses, and the influence of policies.