Senior Energy Data Analyst
EnergyHub- Full Time
- Senior (5 to 8 years)
Candidates must possess experience in solar operations, data pipeline development and maintenance, data cleansing methodologies, ETL processes, statistical control processes, proficiency in Python and Azure cloud, and dashboard development skills using tools such as Flask, Dash, or PowerBI, along with subject matter expertise in performance optimization and data science.
The Lead Performance Engineer will develop and maintain automated data pipelines from various sources to monitor asset performance and investigate underperformance, develop and implement data cleansing methodologies to ensure accurate data, own the quality and structure of performance datasets through ETL and statistical control processes, automate calculations for key performance indicators and investment opportunities, create dashboards and tools to visualize and communicate priority opportunities with internal and external teams, act as a subject matter expert and provide guidance on performance optimization, and support the reporting and coordination of work done to optimize the performance of the operating fleet, including root cause analysis and business case development for fleet investments. They will also develop and own energy models or digital twins for the operational fleet across the asset lifecycle.
Develops and operates utility-scale solar farms
Pine Gate Renewables develops solar farms across the United States, partnering with landowners, communities, and utility companies to create clean energy solutions. They focus on utility-scale solar farm development, managing everything from site selection to maintenance, and sell the generated electricity to utility companies through long-term power purchase agreements (PPAs). This approach provides a stable revenue stream and a reliable source of clean energy. Their goal is to promote renewable energy while benefiting all parties involved.