01Overview
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 quick-growing, mission-driven company.
- Competitive salary, health insurance, and specialized technical training programs.
- A collaborative environment that values data-backed d .
