Solar Analyst

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.