Commercial Analyst (Data Centres and Industrials)

Overview

In this role you will own and develop project models for innovative energy solutions, price offers, and assess financial viability for large-scale projects. You’ll work closely with cross-functional teams to support investment decisions and monitor project performance. The role combines finance, market knowledge, and technical modelling to drive fast, data-driven outcomes. You will be at the heart of turning unique private wire and behind-the-meter opportunities into bankable propositions, helping scale Octopus’ energy solutions for datacenters and industry.

Pay / Benefits

• hybrid work model
• employee benefits hub
• salary discussion on request
• flexible working
• focus on long-term growth and development

Responsibilities

• Own and develop project models for opportunities including generation, BESS, flexible load, and network costs; estimate capex, opex, revenue stacks, IRR and downside scenarios
• Price offers by translating load profiles and reliability needs into deliverable structures (tariff, PPA, tolling, availability-based) balancing risk for both sides
• Value storage and flexible load using wholesale markets, Balancing Mechanism, ancillary services and Capacity Market; quantify network charges and connection options
• Develop business cases and create internal/external presentations to support from indicative proposals to final investment decisions
• Track portfolio performance against approved cases; monitor spend, milestones, connection dates and regulatory changes; assist with diligence

Key requirements

• 3–5 years in a numerate commercial role related to infrastructure or renewables, project finance, banking, energy trading or origination, strategy or consultancy
• Financial modelling from first principles (DCF, IRR, scenarios, sensitivities) with ability to standardize for team use
• Advanced knowledge of GB/European power markets and how network and connection costs impact a project
• Advanced Excel and Python
• Ability to turn a messy problem into a clear recommendation
• Quantitative degree in economics, engineering, finance, maths, physics or equivalent experience

• Analytical mindset
• Clear communication of complex ideas
• Ability to work autonomously and take ownership
• Financial modelling (DCF, IRR, scenarios, sensitivities)
• GB/European power markets knowledge
• Excel (advanced) and Python

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