Solar O&M Data Analyst

Job Title: Solar O&M Data Analyst
Contract Type: Permanent
Location: South West England,
Salary: £25000.00 - £30000.00 per annum
Start Date: ASAP
REF: HQ00019892
Contact Name: Luke Sanders
Contact Email:
Job Published: almost 2 years ago

Our Client is a world leading developer of Renewable Energy projects. They are looking to hire an experienced Solar O&M Data Analyst to join their Solar O&M service. This solar O&M service shall be provided to their current portfolio and be competitive for new 3rd party other solar O&M business.


  • Monitor operational solar farm performance in real time and assisting with subsequent troubleshooting and maintenance
  • Use of solar monitoring system to assess system communication issues, identify data loss and perform checks on data integrity.
  • Analyse operational data to verify actual plant output, availability and performance ratio, and identify reasons for variances vs budget.
  • Combine operational data with engineering knowledge to identifying root causes of performance variations.
  • Create monthly O&M reports of a high standard using reporting software.
  • Analyse historic solar farm data to find opportunities for performance improvement.
  • Analyse historic maintenance data to optimise future maintenance strategies.
  • Develop the monitoring and reporting system by automating the analysis of the data through new analysis tools and techniques.
  • Obtaining feedback from internal stakeholders.
  • Assisting in the development of new data analysis tools.
  • Adapting to new technologies as the operational portfolio grows.


  • Basic knowledge of electrical drawings and electrical system concepts is essential.
  • Technical knowledge of the principles of solar PV generation.
  • Microsoft Office (Word, Excel and PowerPoint) and a data analysis tool such as VBA, Python, R or Matlab
  • Solar O&M experience in data monitoring.
  • Track record of solving tough technical challenges with innovative approaches.
  • Experience in any of the following would also be advantageous:
  • SCADA systems
  • CMMS
  • SQL
  • PVSyst
  • Managing, analysing and visualising large datasets
  • Degree in Electrical/Electronic Engineering or Computer Science or a related discipline with a 1st or 2:1 result or equivalent experience