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Commercial Analyst; Data Centres and Industrials

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: NextGenEnergyJobs
Full Time position
Listed on 2026-09-22
Job specializations:
  • Finance & Banking
    Financial Analyst, Financial Advisor / Consultant
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Commercial Analyst (Data Centres and Industrials)
Location: Greater London

Responsibilities

  • Own the project model for each opportunity - generation, BESS, flexible load, network cost; capex, opex, revenue stack, IRR, downside cases. Build project-specific models while developing toolings and standard assumptions to support our growing pipeline
  • Price the offer. Turn a customer's load profile and reliability requirement into a deliverable price and structure - tariff, PPA, tolling, availability-based - and show which one allocates risk sensibly for both sides.
  • Value the flex. Model storage and flexible load across wholesale, Balancing Mechanism, ancillary services and Capacity Market. Quantify network charges (TNUoS, DUoS, BSUoS), curtailment and connection options.
  • Develop the business case. Build internal and external presentations to support from indicative customer proposals to project final investment decisions.
  • Track the portfolio and read the market. Monitor live projects against approved cases - spend, milestones, connection dates - and identify early and quantify regulatory change (connections reform, REMA, network charging). Support term sheets and diligence from indicative to signed.
Requirements
  • 3–5 years in a numerate commercial role - infrastructure or renewables development, project finance, banking, energy trading or origination, strategy or energy consultancy.
  • Financial modelling from first principles: DCF, IRR, scenarios and sensitivities. You can build a model someone else can follow and eventually develop it as a standard tool for other team members to use.
  • Advanced knowledge of GB/European power markets, and how network and connection costs land on a project.
  • Advanced Excel and Python
  • Able to take a messy, incomplete problem to a clear recommendation
  • Quantitative degree - economics, engineering, finance, maths, physics - or equivalent experience.
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