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Job summary
A recruitment agency in Riyadh is seeking a professional for solar data analysis involving quality assurance and validation procedures. The role covers report preparation, dust & pollution assessments, uncertainty studies, and technical coordination between teams and stakeholders. Candidates should hold a BE/B.Tech in Electrical or Mechanical Engineering, with an emphasis on data analysis methodologies. The position requires working hours from Sunday to Thursday, 9:00 AM to 6:00 PM.
Qualifications
Knowledge of QA/QC procedures in solar data.
Experience in data processing and validation.
Familiar with statistical analysis and reporting.
Responsibilities
Help apply QA/QC procedures to solar station data.
Deliver monthly and annual solar energy reports.
Analyse deposition impacts on PV/CSP performance.
Evaluate ground reflectance for solar modelling.
Conduct statistical analyses of solar resource variability.
Produce Typical Meteorological Year datasets.
Act as a communication bridge with client stakeholders.
Support workshops and client training.
Education
BE./B.Tech in Electrical Engineering/Mechanical Engineering
Job description
Data Processing & Validation: Help apply QA/QC procedures to solar station data (GHI, DNI, DHI, temperature, humidity, pressure, visibility).
Report Preparation: Deliver monthly, semi-annual, and annual solar energyreports, including raw, cleaned, and validated datasets.
Dust & Pollution Assessment: Analyse deposition impacts on PV/CSPperformance and prepare IEC-compliant reports on frequency and severity.
Albedo Analysis: Evaluate ground reflectance at each site, producingrepresentative values for solar modelling and project feasibility.
Uncertainty & Variability Studies: Conduct statistical analyses of solarresource variability and uncertainty for bank-grade reporting.
TMY Development: Produce Typical Meteorological Year datasets for se inpre-tender project feasibility studies.
Technical Coordination: Act as a communication bridge between the solaranalysis team and client stakeholders, ensuring transparency in reporting.
Knowledge Sharing: Support workshops and Client staff training on solardata analysis methodologies and error correction techniques.
Qualification: BE. /B.Tech in Electrical Engineering/ Mechanical Engineering