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 transparent 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.

📌 Solar Yield Analyst (Ghaziabad)
🏢 Moon Beverages
📍 Ghaziabad