About the roleThis 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 explicit recommendations for both technical and non-technical stakeholders

Basic Qualifications

1. Master’s in Computer/Data Science, Engineering, Math, or Physics with 2–3 yrs in performance engineering, PV modeling (PVsyst), and data analytics
2. Strong knowledge of PV system modeling (PVsyst, PVLib) and SCADA performance assessment
3. Skilled in Python/R, SQL, Excel (advanced, VBA), and BI tools (PowerBI, Tableau, Plotly, Pandas, NumPy, Matplotlib)
4. Experience in project management, data mining, and AC/DC power system analysis
5. 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