Since its founding in 2010, Lightsource bp has grown rapidly to become a global market leader in the development, acquisition, and long-term management & operation of solar energy projects.
In addition to being a multi-GW developer of utility-scale plants, Lightsource bp has invested heavily in its Asset Services division, which encompasses the internal capabilities required to manage, operate, and optimise the return of a solar site over its lifespan.
Long one of the largest Owners and Operators of solar in the UK, LSbp's Asset Services business is currently scaling up rapidly.
Today we manage hundreds of MW of assets in each of the United States, Spain, and Australia, in addition to our UK home market, with more new markets soon to follow.
Global Performance & Monitoring The LSbp Global Performance & Monitoring team sits within the Asset Services business, acting as the nerve centre through which all asset data flows on a daily basis.
The insights generated by the team are disseminated across Lightsource, providing the foundation for data-based decision-making.
From a simple decision to dispatch an engineer to site to investigate a fault to deciding to proceed with a multi-million-pound site retrofit, the process starts with the Global Performance & Monitoring team.
We measure our success by the performance of our international fleet of assets, as well as by the service we provide to our O&M and Asset Management colleagues, in the form of data feeds, reporting, insight generation, and recommendations.
Role Summary Responsibilities: Regular health monitoring of the plants through our Monitoring System, analysing system-generated alarms to identify technical issues and potential underperformance. Calculation of KPIs and other performance metrics for the sites for which you are responsible (e.g., Availability, Performance Ratio, etc.
). Data analysis to investigate the root cause and quantify the impact on performance of identified issues. Engagement with Asset Managers and the rest of the Global Performance & Monitoring Team to track known issues through to resolution. Generation of regular reports on the performance of the sites detailing performance via the main KPIs and explaining underperformance via known technical issues/underperformance events. Support continuous improvement efforts via the development of new tools for streamlining our data analysis and reporting automation (i.e., scripts to automate manual calculations, improve data manipulation or automate reporting/dashboards). Support on the implementation and testing of the company's new, industry-leading Data Lake and System of Insight (KPI Management, Reporting and Analytics tool). Work Skills: Must be fluent in spoken and written English. Must be an advanced user of Microsoft Excel (including VBA). Must be able to work with large datasets and be comfortable querying datasets. Python, R, SQL and/or other programming skills are strongly desired. Automated data visualisation & communication experience (e.g., Power BI, Tableau) will be considered an asset. General Skills/Attributes: Possesses an analytical mind, keen to identify and solve problems. Excellent written and verbal communications skills - able to go beyond just presenting data to pull out key insights. Able to manage interaction with internal and external stakeholders. Relentless attention to detail and drive to produce quality work. Organisation and work ethic to deliver against critical deadlines. Possesses a mindset of continuous improvement, always looking for opportunities to improve, both as an individual and a team. Is a team player but also able to work independently. Passionate about renewables and the energy transition. Knowledge: Basic principles of electricity generation. Key photovoltaic (PV) plant components and methods of operation. PV plant performance parameters such as PR, availability, etc. Basic data flows underlying SCADA and monitoring systems. Experience Required: Must have demonstrable experience of data analysis/generating and communicating insights from quantitative information.
Education and Qualifications: Degree in Renewable Energy, Sciences, Engineering, Mathematics, or Computer Science; or, Foundation Degree (e.g., FdA, FdSc), Diploma of Higher Education (DipHE) related with Renewable Energy or/and data analysis.
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