Job Description● Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization
NFactor (CUF) for MW-scaleplants, ensuring they meet contractual obligations.
N● Deep Data Analytics: Use Python, R, or advanced MS Excel/Google Sheets to analyze large
Ndatasets from SCADA systems to identify degradation trends or equipment underperformance
N● Lost Energy Attribution: Calculate energy losses specifically due to grid downtime, clipping,
Nsoiling, and thermal effects to provide a transparent "Actual vs. Theoretical" generation gap analysis.
N● Forecasting & Modeling: Use PVSyst or Meteonorm data to create generation forecasts and
Ncompare real-time data against weather-adjusted benchmarks.
N● Soiling Analysis: Analyze soiling losses to optimize cleaning cycles for MW-scale sites,
Nbalancing cost vs. generation gain.
N● Reporting: Prepare high-level technical reports for stakeholders, highlighting monthly
Ngeneration health and proposing corrective actions for system-level inefficiencies.
NQualifications and Skills
N● Education:



B.Tech/M.Tech in Electrical Engineering, Data Science, or Renewable Energy.
N● Experience: Minimum 7 years, specifically in solar data analytics or performance engineering
Nfor MW-scale plants.
n● Software Proficiency: Expert level in MS Excel and SCADA systems. Proficiency in PVSyst
Nand data visualization tools (like Power BI or Tableau) is preferred.
N● Technical Knowledge: Deep understanding of PV system, inverter efficiency curves, and
Ndifferent losses.
n● Analytical Mindset: Ability to diagnose complex issues like PID (Potential Induced
NDegradation) or string-level mismatch from remote data.
N● Location: PAN India (Bhopal/Mumbai preferred)
NWhat We Offer
n● Achance to work on large-scale utility assets within a fast-growing, mission-driven company.
N● Competitive salary, health insurance, and specialized technical training programs.
N● A collaborative environment that values d

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