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● 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 d