Solar Yield Analyst

Role & responsibilities

• 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.

Preferred candidate profile

• Education: B.Tech/M.Tech in Electrical Engineering, Data Science, or Renewable Energy.
• Experience: Minimum 4 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.