Solar Analyst

Solar Analyst Location: PAN India (Bhopal/Mumbai preferred) Experience: 7+ years Work Mode: On-site Industry: Renewable Energy About the Role We are looking for a Solar Analyst with deep expertise in solar data analytics and performance engineering for MW-scale plants.

Key Responsibilities

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

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.

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.