Solar Analyst

Location: PAN India (Bhopal/Mumbai preferred)

Experience: 7 years

Work Mode: On-site

Industry: Renewable Energy

We are looking for a Solar Analyst with deep expertise in solar data analytics and performance engineering for MW-scale plants.

• Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization Factor (CUF) for MW-scale plants ensuring they meet contractual obligations.
  
• Deep Data Analytics: Use Python R or advanced MS Excel/Google Sheets to analyze large datasets from SCADA systems to identify degradation trends or equipment underperformance.
  
• Lost Energy Attribution: Calculate energy losses specifically due to grid downtime clipping soiling and thermal effects to provide a clear Actual vs. Theoretical generation gap analysis.
  
• Forecasting & Modeling: Use PVSyst or Meteonorm data to create generation forecasts and compare real-time data against weather-adjusted benchmarks.
  
• Soiling Analysis: Analyze soiling losses to optimize cleaning cycles for MW-scale sites balancing cost vs. generation gain.
  
• Reporting: Prepare high-level technical reports for stakeholders highlighting monthly generation health and proposing corrective actions for system-level inefficiencies.
  

• Education: in Electrical Engineering Data Science or Renewable Energy.
  
• Experience: Minimum 7 years specifically in solar data analytics or performance engineering for MW-scale plants.
  
• Software Proficiency: Expert level in MS Excel and SCADA systems. Proficiency in PVSyst and data visualization tools (like Power BI or Tableau) is preferred.
  
• Technical Knowledge: Deep understanding of PV system inverter efficiency curves and different losses.
  
• Analytical Mindset: Ability to diagnose complex issues like PID (Potential Induced Degradation) or string-level mismatch from remote data.
  

• A chance to work on large-scale utility assets within a fast-growing mission-driven company.
  
• Competitive salary health insurance and specialized technical training programs.
  
• A collaborative environment that values data-backed decision making.