Data Analyst (Renewable Energy) - Python - Leeds

Location: Leeds (Hybrid – 2 days per week in the office) We are partnering with a growing commercial energy business who are looking for a Renewable Energy Portfolio Analyst to join a developing trading and risk function. This is a high-impact role sitting at the intersection of renewables, trading, risk, and modelling. You’ll work closely with commercial and trading teams, helping shape how renewable energy contracts are modelled, managed, and hedged.

Why this role stands out Direct exposure to renewable energy trading and portfolio management Strong mix of commercial, technical, and analytical work Opportunity to build tools, improve processes, and shape a growing function Close collaboration with trading teams and key decision-makers Ideal step for someone looking to move beyond pure reporting into a commercially impactful role What you’ll be doing Model renewable energy contracts in trading systems Build and maintain portfolio views across power, certificates, and related products Monitor portfolio performance, exposure, and key risk drivers Support hedging activity and work closely with trading teams Work with commercial teams to onboard new deal structures Produce analysis and reporting to explain portfolio performance and risk Contribute to the development of models, tools, and processes What they’re looking for Core skills Strong numerical and analytical ability Commercial awareness and interest in energy markets Confident communication and stakeholder engagement Ability to work in a fast-paced, evolving environment Technical Python for modelling, analysis, or automation Experience with data tools (e.g. Pandas, NumPy) Exposure to modelling, forecasting, or risk environments is beneficial If this is of interest, apply today and one of the team will be in touch to discuss further. #J-18808-Ljbffr