Intern, Operations
Luminace is one of the largest fully integrated decarbonization-as-a-service providers in North America, sponsoring accessible, reliable and renewable energy infrastructure to empower the zero-emissions future. Luminace serves more than 1,000 customers in the educational, commercial, industrial, utility and municipal sectors and has over 1,300 operational megawatts of distributed energy resources spanning 28 states, Washington D.C., Puerto Rico and Canada. Our offerings include on and off-site solar, energy storage and EV infrastructure. Luminace is a Brookfield Renewable (NYSE: BEP) company. Brookfield Renewable operates one of the world's largest publicly traded, pure play renewable power platforms. Brookfield Renewable's portfolio consists of hydroelectric, wind, solar and storage facilities in North America, South America, Europe and Asia, and totals approximately 21,000 megawatts of installed capacity and an approximately 27,000 megawatt development pipeline. Brookfield Renewable is the flagship listed renewable power company of Brookfield Asset Management, a leading global alternative asset manager with over $800 billion of assets under management. Responsibilities Support the ongoing metadata collection project by reviewing, collecting, and analyzing data from technical documents (e.g., As-Builts, Data Sheets, project contracts). Assist with data organization, validation, and reporting for internal stakeholders. Contribute to PV engineering, data collection, and systems modeling tasks as needed. Provide support on ongoing repowering, AIP, and other operations projects. Collaborate with cross-functional teams to apply interdisciplinary science and technology principles to real-world projects. Perform additional technical research and analysis related to energy systems and sustainability. Qualifications Currently pursuing a degree in Integrated Science and Technology, Engineering, Environmental Science, or a related STEM field. Strong academic background with interest in energy systems, sustainability, and applied research. Experience with data analysis and data collection methodologies. Familiarity with PV engineering and systems modeling is a plus. Proficiency in Python, R, and Excel. Strong attention to detail and ability to interpret technical documents. Excellent communication and collaboration skills.