Solar Yield Analyst (Exp. in Solar Energy Mandatory)

Moon Beverages; Hapur; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Moon Beverages seeks a seasoned Solar Data Analytics Engineer to monitor performance ratios and capacity utilization for MW-scale solar plants. You will analyze SCADA data, forecast generation with PVSyst, and identify degradation trends to drive efficiency improvements.

Responsibilities include energy loss attribution, soiling analysis, and reporting to stakeholders. A strong background in PV systems and data visualization is essential.

Qualifications

• 4+ years in solar data analytics or performance engineering.
• Strong MS Excel and SCADA proficiency.
• Knowledge of PV systems, inverter efficiency, and loss mechanisms.

Responsibilities

• Monitor PR and CUF for MW-scale plants.
• Analyze data to identify degradation trends.
• Calculate energy losses due to grid downtime, clipping, soiling, and thermal effects.
• Create generation forecasts using PVSyst and weather data.
• Recommend corrective actions for system inefficiencies.
• Prepare high-level technical stakeholder reports.

Skills

Analytical Mindset

Data Analysis

Forecasting

Education

B.Tech Electrical Engineering

M.Tech Renewable Energy

Tools

MS Excel

SCADA systems

PVSyst

Power BI

Job description

Role & responsibilities

• 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.
  

Preferred candidate profile

• Education: B.Tech/M.Tech in Electrical Engineering, Data Science, or Renewable Energy.
• Experience: Minimum 4 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.