Solar and Energy Storage Remote Operator and Data Analyst

Overview

Monitor, analyze, and optimize solar & storage systems, providing data-driven insights remotely.

Key Responsibilities

• data visualization
• performance metrics
• data integrity
• issue diagnosis
• predictive analytics
• real-time monitoring

Tasks

-Utilize data visualization tools and software to present insights effectively to management and engineering teams. -Analyze system performance metrics to ensure optimal efficiency, reliability, and compliance with industry standards. -Maintain and improve data integrity, ensuring accurate and timely documentation of all analytical findings. -Collaborate with technical teams to diagnose system issues and propose corrective actions. -Support predictive analytics models for performance forecasting and preventative maintenance planning. -Monitor real-time data from Solar and Energy Storage sites to identify anomalies, trends, and performance deviations. -Investigate historical trends to optimize system configurations and improve future deployments.

Requirements

• python
• sql
• power bi
• electrical engineering
• nerc
• machine learning

What You Bring

-Comfortable working independently, ensuring seamless handover to the next working shift. -The ability to remotely diagnose, troubleshoot, and reset equipment. -Ability to technically troubleshoot commercial solar PV and BESS systems remotely -Familiarity with SCADA systems, monitoring platforms, and renewable energy asset management software. -Certifications in energy analytics, data science, or renewable energy technologies. -Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience. -Excellent problem-solving skills with a keen eye for identifying inefficiencies and optimization opportunities. -Prior experience working or interacting with commercial PV and BESS projects -Knowledge of grid-scale energy storage operations, market dynamics, and regulatory frameworks. -Ability to handle complex and critical issues in a timely manner. -Electrical Engineering Degree -Ability to interpret large datasets and translate findings into actionable insights for technical teams. -Strong written and verbal communication skills to articulate complex technical data in a concise manner. -Minimum of 2+ years of experience with machine learning applications for predictive maintenance in PV and BESS systems. -NERC certified as System Operator or is working to gain certification. -Strong proficiency in data analysis tools such as Python, SQL, Excel, and visualization platforms (Power BI, Tableau).

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About Ameresco

-Founded with the vision to help organizations achieve their sustainability goals through energy efficiency and renewable energy solutions. -Pioneering in the development of energy-saving technologies, offering cutting-edge solutions across diverse industries. -Works with a variety of clients, including private enterprises, governmental organizations, and large institutions, helping them reduce energy costs and improve environmental performance. -Typical projects range from retrofitting buildings to large-scale renewable energy installations, including solar and wind power systems. -Known for delivering complex, integrated solutions with a focus on energy savings, sustainability, and long-term performance. -A key player in the clean energy sector, focusing heavily on innovation and utilizing the latest technologies in energy management. -With a track record of successful projects across North America and globally, continues to shape the future of sustainable infrastructure.

Sector Specialisms