Job Title

Key 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.Qualifications and Skills Education:B.Tech/M.Tech 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. Location:PAN India (Bhopal/Mumbai preferred)What We Offer 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.