Senior Energy Data & Modelling Analyst

Key Responsibilities

• Analyse, interpret and manage complex energy-system datasets.
• Ensure datasets are appropriately structured and aligned for modelling activities.
• Support the development and enhancement of whole-energy-system models.
• Understand and reconcile national, regional and local energy datasets.
• Translate modelling requirements into data requirements and vice versa.
• Work with stakeholders across modelling, planning and analysis functions.
• Contribute to scenario modelling, forecasting and energy planning projects.
• Provide insight into modelling assumptions, inputs and outputs.

Essential Experience

• Strong experience working with energy-system data and modelling environments.
• Understanding of how energy datasets underpin modelling activities and decision making.
• Knowledge of energy network data, forecasting, scenario planning or system modelling.
• Experience within one or more of the following:
• Distribution Network Operators (DNOs)
• Energy consultancies
• Energy network modelling organisations
• Local Area Energy Planning (LAEP)
• Whole Energy Systems modelling
• Energy forecasting and scenario modelling
• Experience working with multiple energy vectors, such as:
• Electricity
• Gas
• Storage
• Biomethane
• Broader whole-energy-system datasets

Desirable Experience

• Local Area Energy Planning (LAEP).
• Understanding of DNO datasets and network planning processes.
• Python or other relevant analytical/programming experience.
• Experience reconciling local and national energy datasets.
• Knowledge of Future Energy Scenarios (FES) or net-zero modelling programmes.

If you have a strong understanding of how energy datasets feed into modelling and can bridge the gap between data and whole-energy-system analysis, we'd love to hear from you.