Solar Analyst
IT
Mumbai, Maharashtra, India
Posted on Aug 14, 2026
Solar Analyst
Location: PAN India (Bhopal/Mumbai preferred)
Experience: 7+ years
Work Mode: On-site
Industry: Renewable Energy
We are looking for a Solar Analyst with deep expertise in solar data analytics and performance engineering for MW-scale plants.
- 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.
- 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.
- 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.