Database Analysis Coordinator

SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries.

Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems.

By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive.

**This position require working in European time zone (Italy).**

Roles and Responsibilities:

Data Management and Analysis:

• Collect, organize, and analyze project data to support decision-making processes.
• Ensure data accuracy, integrity, and security.
• Develop and maintain databases and data systems.
• Ability to develop and run scripts in large data setups.

Reporting and Documentation:

• Generate regular and ad-hoc reports for project stakeholders.
• Document data analysis processes and methodologies.
• Create visualizations and dashboards to present data insights.

Collaboration and Communication:

• Work closely with project managers, team members, and other stakeholders to understand data needs and requirements.
• Communicate findings and recommendations based on data analysis.
• Provide training and support to team members on data-related tools and processes.

Process Improvement:

• Identify opportunities for process improvements based on data analysis.
• Implement best practices for data management and analysis.
• Stay updated with the latest trends and technologies in data analysis and project management.

Quality Assurance:

• Conduct regular audits to ensure data quality and compliance with standards.
• Develop and implement data quality control measures.
• Address data-related issues and discrepancies promptly.

Project Support:

• Assist in the planning and execution of projects by providing data-driven insights.
• Monitor project progress and performance using data metrics.
• Support the PMO team in achieving project goals and objectives.