About this role
Responsibilities Consolidate historical data into structured model input datasets for electricity market simulations. Collect and challenge projection scenarios from various European countries to ensure alignment with defined storylines. Develop and review analysis tools using R, Python, and Excel to manage parameters within simulation frameworks. Create visualizations of simulation outputs using Power BI and geospatial tools to identify key trends. Analyze algorithm results critically and perform data engineering to manage interfaces between modeling tools. Support quality control processes on built models and conduct impact assessments on demand and flexibility assumptions. Requirements 3+ years experience in data analysis or modeling within the energy sector. Proficiency in Python or R for data management and tool development. Advanced knowledge of Excel for data exploration and reporting. Possess strong knowledge of European energy policies and electricity market targets. You bring an analytical mind with the ability to challenge projections concerning renewables and industry evolution. You're proactive and able to work both independently and within a collaborative team environment. You are fluent in English with a fluent level of Dutch or French . Nice to Haves Experience with VBA for scripting and automation. Knowledge of economic dispatch tools such as ANTARES . Familiarity with data visualization tools like Power BI or Qgis . Previous experience in market simulations and data mining.