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



B.Tech/M.Tech in Electrical Engineering, Data Science, or Renewable Energy. /n ● Experience: Minimum 7 years, specifically in solar data analytics or performance engineering /n for MW-scale plants. /n ● Software Proficiency: Expert level in MS Excel and SCADA systems. Proficiency in PVSyst /n and data visualization tools (like Power BI or Tableau) is preferred. /n ● Technical Knowledge: Deep understanding of PV system, inverter efficiency curves, and /n different losses. /n ● Analytical Mindset: Ability to diagnose complex issues like PID (Potential Induced /n Degradation) or string-level mismatch from remote data. /n ● Location: PAN India (Bhopal/Mumbai preferred) /n What We Offer /n ● A chance to work on large-scale utility assets within a fast-growing, mission-driven company. /n ● Competitive salary, health insurance, and specialized technical training programs. /n ● A collaborative environment that values data-backed d

📌 Solar Analyst (Mumbai)
🏢 SolarSquare
📍 Mumbai