Associate Performance Analyst

Title:Associate Performance Analyst
Salary: 25,000 - 28,000 (DOE) +10% bonus
Location: Hybrid(Bath and Remote)

Trilogic Recruitment are seeking an Associate Performance Analyst, to join our client s Global Performance & Monitoring team.

The successful candidate will join an existing team of 6 Madrid and 10 UK-based colleagues,in managing their portfolio of assets under management (expected to exceed 4.3 GW by year-end).

Role summary

The role will be focused on asset performance analysis and the calculation and reporting of key performance indicators (availability, performance ratios, events monitoring, etc.).

The main parts of the role will involve daily monitoring of the health of the power plants, data quality assurance, analysis of energy and irradiance metering, and other performance analysis in Excel, and/or other data analysis tools. The role also includes reporting business intelligence, and data visualisation responsibilities.

The successful candidate will help create reports to be used internally for decision-making, as well as those delivered externally to asset owners, financial lenders, and tax equity partners. Advanced analytical skills are required for success in this role.

Duties and Responsibilities

• Regular health monitoring of the plants through our Monitoring System, analysing system-generated alarms with the aim to identify technical issues and potential under-performance.
  
• 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 which detail performance via the main KPIs and explain under-performance via known technical issues / under-performance 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 (incl. 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:

Direct knowledge of solar energy generation is not Essential; however, a candidate will be well-served by a basic understanding of:

• 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.
  
• Ideal candidate would have previous exposure to utility-scale renewable plants
  
• Ideal candidate would have prior experience working with monitoring and SCADA systems

Education and Qualifications:

• Degree in Renewable Energy, Sciences, Engineering, Mathematics, or Computer Science;
  
• or, Foundation Degree (eg, FdA, FdSc), Diploma of Higher Education (DipHE) related with Renewable Energy or/and data analysis.
  

Must be fluent in spoken and written English Must be an advanced user of Microsoft Excel (incl. VBA) Must be able to work with large datasets and be comfortable querying datasets Must have experience with solar monitoring platforms (e.g., InAccess, GPM, etc.) Python, R, SQL and/or other programming skills are an asset but not essential Automated data visualisation & communication experience (e.g., Power BI, Tableau) will be considered an asset