About The Role

This role, reporting to the Sr. Director of

Technical Asset Management

, involves analyzing and modeling power plant performance, driving data-driven insights to enhance efficiency, and collaborating with engineers, O&M; teams, and stakeholders to support strategic decision-making across a growing portfolio of renewable projects

Primary Responsibilities

- Collect, clean, and analyze large datasets on power plant performance and modeling

- Develop predictive models to forecast performance, troubleshoot PV systems, and recommend corrective actions

- Use PV modeling tools (PVsyst, PVlib Python, NREL SAM, etc.) for performance analysis

- Calculate plant/equipment losses (soiling, tracker, temperature, clipping, inverter efficiency, wiring)

- Compute KPIs (availability, performance ratio, energy performance index) using algorithms

- Support automation of reporting and analysis with data science/software teams





- Collaborate with cross-functional teams to improve operational efficiency and reduce costs

- Translate analysis into clear recommendations for both technical and non-technical stakeholders

Basic Qualifications

- Master's in Computer/Data Science, Engineering, Math, or Physics with 2–3 yrs in performance engineering, PV modeling (PVsyst), and data analytics

- Solid knowledge of PV system modeling (PVsyst, PVLib) and SCADA performance assessment

- Skilled in Python/R, SQL, Excel (advanced, VBA), and BI tools (PowerBI, Tableau, Plotly, Pandas, NumPy, Matplotlib)

- Experience in project management, data mining, and AC/DC power system analysis

- Strong analytical, problem-solving, communication, and teamwork skills

The Ideal Candidate Will Have

- Experience working in the power industry, specifically in performance analysis and modeling in the PV solar industry

📌 Performance Engineer Solar (Kolkata)
🏢 Recex.co
📍 Kolkata