Job Description
The Energy Data Analyst will contribute to the digital transformation of CERN's electricity cost modelling and load forecasting framework within the Energy & Climate Action section of the Environmental Protection group.
The role focuses on migrating legacy financial and forecasting tools to a structured Python-based analytical platform, enhancing forecasting granularity and potentially exploring AI-driven approaches for electricity load and price forecasting.
The position also involves monitoring electricity market developments and supporting CERN's ISO 50001 energy management activities.
Your responsibilities:
Develop and consolidate a Python-based framework for electricity cost modelling, harmonising and replacing existing Excel tools used for invoice control, virtual invoicing and cost forecasting.
Analyse electricity supply contracts and translate pricing mechanisms into structured financial simulation models.
Contribute to CERN's load forecasting activities by analysing historical operational data, identifying consumption patterns and improving forecasting granularity from daily to hourly resolution.
Integrate real-time data sources, including solar PV production, into forecasting and analytical tools.
Explore and test AI and machine learning approaches for electricity load and price forecasting.
Monitor developments in European and French electricity markets and prepare bi-monthly reports supporting procurement and risk assessment.
Support ISO 50001 energy management activities, including documentation, audit preparation and data-driven performance monitoring.
Contribute to cross-functional activities related to the commercial, financial and contractual follow-up of the various electricity supply agreements.
This role includes team supervision responsibilities.