Solar Performance Engineer

Job Description:
As a valued team member, you'll play a pivotal role in driving customer success through the execution and management of TrueCapture Benefit Evaluation activities. Your responsibilities will include:
Ensuring Accuracy and Customer Satisfaction: You'll meticulously analyze and compare TrueCapture field measured gains against quoted and modeled gains. Any disparities will be thoroughly investigated and resolved, ensuring that our customers receive accurate and reliable information. Engaging directly with customers, you'll effectively communicate processes, present results, and address any concerns, managing schedules and reporting requirements to maintain transparency and satisfaction.
Enhancing Operational Efficiency: Your role involves continually refining analysis methods, data cleaning techniques, and automation processes to scale-up the calculation of TrueCapture measured gains. By monitoring site performance during field tests, you'll guarantee the collection of high-quality data for analysis, contributing significantly to project efficiency and success.
Empowering Insights and Diagnosing Issues: Supporting active monitoring, you'll analyze solar resource, production, and operational data, translating these insights into actionable reports and summaries. Your expertise will aid in diagnosing operational issues through comprehensive data analysis, and collaborating closely with our technical services team to ensure optimal tracker performance and reliability.
Qualifications (Required):
Bachelor’s Degree in Mathematics, Accounting, Engineering, Statistics, or related disciplines.
Minimum of 2 years' experience in performance engineering, data science, or analytics.
Minimum of 1 year of experience in the solar domain, preferably involving performance modeling and/or data analysis of utility-scale solar power plants.
Experience with operational aspects of utility-scale solar power plants relating to operations and maintenance, performance reporting, performance metrics, and data analysis of operational time series data
Previous customer-facing experience and exceptional communication skills to engage effectively with clients, present findings, manage expectations, and resolve queries.
Proven ability to manage multiple projects concurrently while staying organized and maintaining high-quality work standards.
Strong analytical skills with an exceptional attention to detail and accuracy.
Understanding of solar power plant equipment and performance modeling and analysis, including solar resource, sun position, irradiance, transposition models, module technologies, inverter behaviors, etc.
Advanced or fluent English (spoken and written); Spanish is a plus.
Additional Qualifications (Preferred):
Master’s degree in a relevant field.
Familiarity with performance engineering tools like PVsyst, PVLIB Python, NREL SAM, and other PV software and models.
Experience working with time series datasets and typical pitfalls associated with solar time series data, such as daylight savings time shift correction, alignment of multiple time series, etc.
Experience using web APIs and Excel.
Proficiency in statistics and experience using statistical packages for dataset analysis.
Ability to identify, analyze, and interpret trends or patterns in complex datasets.
Technical expertise in data models, data mining, and segmentation techniques.
Location: São Paulo / Sorocaba / Hybrid
At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.
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