Asset Optimisation Analyst
Centrica
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Develop, maintain and refine transparent asset value models across CCGTs, batteries, peakers and solar assets
- Run backcast models to determine optimal dispatch and feed insights into trading strategies, including data gathering, optimisation logic and output visualisation
- Produce high ‑ quality forecast vs. actual performance analysis using consistent breakdowns (prices, volumes, availability, constraints, cycling, fees/charges) and translate findings into commercial actions
- Work closely with Operations and Asset Management to ensure models reflect real ‑ world operating behaviour, maintenance cycles and technical constraints
- Source and interpret external market and industry data (competitor activity, market pipeline, ESO/Elexon signals) and convert insights into implications for asset performance and commercial strategy
- Apply rigorous data quality checks across telemetry/SCADA, metering/settlement data, trading outputs and Finance reporting
- Support decision ‑ ready packs for investment cases, optimisation opportunities and operational strategy
- Drive continuous improvement through template development, automation and analytical tooling using SQL and Python
- Build strong relationships with Operations, Finance and other internal teams to ensure insights are understood, trusted and acted upon
- Identify data requirements and develop analytical tools to support performance and optimisation decisions
Requirements
- Degree (or equivalent experience) in Engineering, Economics, Mathematics, Physics, Data Science or another numerate discipline
- Professional qualifications or certifications in energy markets, analytics or related fields are desirable
- Experience in commercial analytics, optimisation support, performance analysis, revenue assurance or valuation within the power or energy sector
- Strong ability to analyse time ‑ series operational and commercial data and communicate insights clearly to non ‑ specialists
- Strong data analytics skills, including experience with SQL, Python, Power BI or similar tools
- Ability to build practical asset value models and scenario ‑ based sensitivities, with clear articulation of assumptions and limitations
- Understanding of how different asset types earn value and the operational drivers that influence commercial outcomes
- Experience sourcing and interpreting external market data (Elexon, NG ESO, ENTSO ‑ E, SCADA/PI) and converting insights into recommended actions
- Strong stakeholder management skills, able to work effectively with Trading, Operations and Finance to translate analysis into decisions
- Demonstrated analytical curiosity, exploring data beyond the obvious, questioning assumptions and uncovering hidden value or risks
- Skilled in commercial storytelling, synthesising complex operational and market drivers into concise, compelling narratives for diverse audiences .
Benefits
- Flexible working arrangements
- Professional development opportunities
- Total rewards to choose needs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisforecastingasset value modelingperformance analysisoptimisationdata quality checkstime-series analysisscenario-based sensitivity analysiscommercial analyticsrevenue assurance
Soft Skills
stakeholder managementcommunicationanalytical curiosityrelationship buildingcommercial storytellingproblem-solvingcollaborationcritical thinkingadaptabilityattention to detail
Certifications
professional qualifications in energy marketscertifications in analytics