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Talentedge in London is seeking an Energy Analytics Engineer / Data & Automation Analyst to join the Commercial Finance function, at the intersection of data, technology and commercial decision-making.
You will build analytical tools and automated data flows, work with large time-series datasets, and contribute to dashboards, reporting applications and automated controls for energy markets across GB power, gas and carbon.
We are supporting an international energy business with the appointment of an Energy Analytics Engineer / Data & Automation Analyst within their Commercial Finance function in London.
This is an opportunity for a technically strong data, analytics or software professional to join a growing energy business and work at the intersection of data, technology and commercial decision-making.
The role will work closely with Trading, Quantitative Analytics, Technology, Data Architecture and Commercial Finance, developing analytical tools, automated data flows and applications that improve how the business manages and understands its commercial activity.
The business operates across GB power, gas and carbon markets, with exposure to CCGT, BESS, Energy Management Services and a range of increasingly sophisticated trading arrangements.
There is significant scope to shape the role and its technology landscape. You’ll be working on a combination of automation, data engineering, analytical applications, reporting and commercial tools, with the opportunity to contribute to projects well beyond a single function.
The Role
The Energy Analytics Engineer will help develop and enhance the analytical capability supporting the wider commercial organisation.
You’ll be involved in areas such as:
The role offers exposure to a broad range of commercial and technical challenges, with the opportunity to develop a strong understanding of energy markets, trading activity and the data infrastructure that supports them.
What they’re looking for
This could suit someone coming from a variety of technical or analytical backgrounds.
Relevant experience could include data engineering, data science, software engineering, quantitative analytics, energy analytics, commercial analytics or digital transformation.
Energy experience is useful but not essential. The business is particularly interested in people who are technically capable, commercially curious and enjoy solving complex problems through data and automation.
You’ll ideally bring: