Job Description & How to Apply Below
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
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