Energy Efficiency, Empowered by Earth
DATA ANALYST
Join EnEarthia as a Data Analyst and help transform complex energy and operational data into actionable insights that support next-generation clean energy technologies. In this role, you will analyze performance trends, support system optimization, and work with multidisciplinary technical teams to improve thermal energy storage and sustainable cooling solutions. Candidates should have a strong background in data analytics, engineering, computer science, applied mathematics, or a related field. Experience with energy systems, thermal technologies, machine learning, Python, SQL, or data visualization tools is highly valued.
LOCATION
Fully Remote • Global
EMPLOYMENT TYPE
Permanent/Contract
What You’ll Do
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As a Data Analyst, you will analyze energy, operational, and performance data to identify trends, support system optimization, and contribute to technical decision-making across clean energy projects. Your work will help improve efficiency, evaluate thermal energy systems, and support the development of scalable sustainable technologies. Experience with Python, SQL, data visualization, or analytical modeling tools is highly valued.
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You will collaborate closely with engineers, researchers, and project teams to organize datasets, generate technical reports, and support evaluations related to thermal energy storage and sustainability initiatives. Candidates with backgrounds in data analytics, engineering, computer science, applied mathematics, or related technical fields are encouraged to apply.
Who You Are
You are an innovative problem solver with a strong background in engineering, data analytics, energy systems, environmental science, or a related technical field. Candidates should be currently pursuing or hold a PhD in a relevant discipline. Your passion for sustainable technologies and analytical thinking drives you to develop innovative solutions for energy efficiency and thermal energy systems.
You possess strong analytical and technical communication skills, with experience in data analysis, modeling, or energy-related research projects. Familiarity with thermal energy systems, sustainability initiatives, Python, SQL, or energy modeling tools is highly valued. You thrive in collaborative environments and enjoy working with multidisciplinary teams to advance clean energy technologies.