Solar Analyst
SolarSquare Mumbai Metropolitan Region
Job Description
"Unlock the power of renewable energy as a Solar Analyst at SolarSquare, where you'll drive business growth and sustainability in the rapidly expanding solar industry."
As a Solar Analyst at SolarSquare, you'll be at the forefront of monitoring and analyzing solar plant performance, ensuring maximum energy yield and minimal losses. With a strong focus on data-driven insights, you'll work closely with our engineering and operations teams to identify areas of improvement and implement data-driven solutions.
If you're passionate about renewable energy, data analysis, and problem-solving, this role is an exciting opportunity to join a dynamic team and contribute to the growth of the solar industry.
Why you should learn this:
The demand for solar energy is skyrocketing, driven by governments' commitment to renewable energy targets and the need for sustainable solutions. As a Solar Analyst, you'll be at the heart of this growth, working with cutting-edge technology and data to optimize solar plant performance.
Expected Salary: $60,000 - $90,000 per annum, depending on experience and qualifications
How it works:
- Step 1: Collect and analyze data from SCADA systems to identify trends and patterns in solar plant performance.
- Step 2: Use Python, R, or advanced MS Excel/Google Sheets to create data visualizations and models that inform business decisions and drive growth.
Core Concepts to Master
Performance Ratio (PR) Tracking
PR tracking involves monitoring and analyzing the efficiency of solar plants, ensuring they meet contractual obligations and identifying areas for improvement. This requires a deep understanding of solar plant operations, energy yield, and capacity utilization.
Lost Energy Attribution
Lost energy attribution involves identifying the causes of energy losses in solar plants, including grid downtime, clipping, soiling, and thermal effects. This requires advanced data analysis and modeling skills to create a clear 'Actual vs. Theoretical' generation gap analysis.
Forecasting & Modeling
Forecasting and modeling involve using PVSyst or Meteonorm data to create generation forecasts and compare real-time data against weather patterns. This requires a strong understanding of solar plant operations, weather patterns, and data analysis techniques.
Interview Questions (Beginner)
- What do you know about solar plant performance and energy yield?
- Can you explain the concept of Performance Ratio (PR) tracking?
- How would you approach data analysis in a solar plant setting?
Job Overview
Advance Questions
- • Can you walk me through your experience with data visualization tools and techniques?
- • How do you identify and address energy losses in solar plants?
- • Can you explain the concept of lost energy attribution and its importance in solar plant operations?