Job Description● Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization
nFactor (CUF) for MW-scale plants, 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● A chance 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 data-backed d

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