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 and amp;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
- Masters in Computer/Data Science Engineering Math or Physics with 23 yrs in performance engineering PV modeling (PVsyst) and data analytics
- Strong 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
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 and amp;M teams and stakeholders to support strategic decision-making acro...
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 and amp;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
- Masters in Computer/Data Science Engineering Math or Physics with 23 yrs in performance engineering PV modeling (PVsyst) and data analytics
- Strong 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
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