Battery Data Analysis & Management

Power the Future with us!

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. 

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. 

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.  

We are looking for a Battery Data Analysis & Management to join our advanced energy storage team. This is a hands-on, data-driven role where you will manage lab experiments, analyze results, and contribute to the development of cutting-edge battery management algorithms. If you are detail-oriented, analytical, and passionate about technology — we want to meet you

Responsibilities:

• Plan, execute, and monitor battery experiments in the lab, ensuring accurate data collection and documentation.
• Analyze experimental data using Excel, MATLAB, or Python, applying statistical methods to extract insights.
• Collaborate with algorithm developers to support the design and validation of battery management algorithms.
• Collaborate with cross-functional teams including hardware, software, and system engineers to integrate algorithms into production systems.
• Troubleshoot issues, perform root cause analysis, and maintain structured knowledge for future reference.
• Document research findings, algorithm logic, and validation results in a clear and structured manner.

Requirements

• Bsc in Engineering, Exact Sciences, Applied Mathematics, or a related field.
• Strong organizational skills and ability to maintain high-quality documentation.
• Good skills in Excel.
• Failure analysis skills.
• Basic programming skills in MATLAB or Python.
• Analytical mindset and ability to work independently as well as in a multidisciplinary team.
• Creative problem-solving skills and a proactive mindset.
• Excellent interpersonal and communication skills.

Nice to have:

•  Understanding of battery technologies and electrochemical systems.
• Experience in algorithm development or data modeling.

SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. 

SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance

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