Functieomschrijving

Data Analyst - Energy Scenarios & Market Modelling
 
Location:Brussels (3 days onsite / 40% remote)
Start:15 September 2026
Duration:Until 30 June 2027
Languages:Dutch and/or French + English
 
Our client is a leading European Transmission System Operator (TSO) responsible for ensuring a reliable, sustainable and secure electricity supply. Within the organisation, the Scenarios, Market & Adequacy Analysis team is responsible for conducting long-term security of supply studies, energy vision studies and cost-benefit analyses for future grid developments. These studies rely on advanced electricity market modelling and simulation tools to assess future electricity demand, generation capacity and overall system adequacy.
 
The role


As a Data Analyst, you will support the SMA team in developing future energy scenarios and the modelling frameworks used to study Belgium's and Europe's future electricity system.
This is a highly analytical role combining data analysis, programming and energy market expertise. You'll help build and validate datasets, develop analytical tools, improve data processes and support electricity market simulations used to plan the energy transition.
The client is looking for someone who is both an "energy geek" and a "data geek"—someone who enjoys working with data but is equally interested in understanding how the future electricity system will evolve.
 
Your responsibilities

• Support the development of future energy scenarios for Belgium and Europe.
• Build scenarios covering future electricity demand, electric vehicles (EV), heat pumps (HP), industrial demand, renewable energy sources (RES), thermal generation, flexibility and storage.
• Collect, consolidate and validate large volumes of historical and projected energy data from multiple sources.
• Gather projection data from European countries and critically assess whether assumptions are realistic and aligned with defined energy scenarios.
• Develop, improve and maintain data collection, data management and scenario-building processes.
• Create and maintain datasets used by electricity market modelling tools.
• Support model building and perform quality checks on datasets and models.
• Assess the impact of modelling assumptions, including demand, renewable production, flexibility and storage.
• Develop and improve tools in Python, R, Excel and VBA.
• Create visualisations and analyse simulation outputs using tools such as Power BI, R or QGIS.
• Analyse algorithm results, identify trends and support interpretation of simulation outcomes.
• Support data engineering activities and interfaces between different tools and systems.
• Contribute to improving the team's analytical tools and overall way of working.

• Minimum 3 years of relevant experience (medior level).
• Strong programming skills in Python or R (experience with both is a plus).
• Strong Excel skills.
• Experience with data analysis, data mining, data gathering, processing and visualization.
• Knowledge of, or a strong interest in, the Belgian and European energy market.
• Genuine interest in the energy transition and future energy systems.
• Ability to critically challenge data, assumptions and projections rather than simply processing them.
• Analytical, proactive and innovative mindset.
• Able to work independently as well as collaboratively.
• Fluent in Dutch and/or...