PV and Energy Storage Remote Operator & Data Analyst

About the role

Ameresco, Inc. (NYSE: AMRC) is a leading energy infrastructure company delivering integrated solutions that provide reliable power and modernize infrastructure. Since 2000, we have served as a trusted partner to public and private sector customers across North America, the UK and Europe, delivering over $15 billion in solutions and contracting more than 5 GW of energy resources. At Ameresco, we integrate energy resources and modernize the built environment through innovative infrastructure solutions that improve reliability, optimize performance, strengthen resilience, and support long-term sustainability.

Ameresco has an immediate opening for a highly analytical and detail-oriented Solar and Energy Storage Remote Operator & Data Analyst to support the monitoring, analysis, and optimization of Solar and Energy storage systems performance. Candidates must have an electrical engineering degree or electrical license with two years + of solar operations and maintenance experience. This position will be a hybrid position tied to either the Westborough, MA or Pine Brook, NJ locations of Ameresco.

Responsibilities

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

Requirements

• Minimum of 2+ years in Solar Operations and Maintenance
• Electrical Engineering Degree or Electrical Journeyman's License

Qualifications

• Experience with machine learning applications for predictive maintenance in PV and BESS systems.
• Comfortable working independently, ensuring seamless handover to the next working shift.
• Strong proficiency in data analysis tools such as Python, SQL, Excel, and visualization platforms (Power BI, Tableau).
• Familiarity with SCADA systems, monitoring platforms, and renewable energy asset management software.
• Excellent problem-solving skills with a keen eye for identifying inefficiencies and optimization opportunities.
• 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.
• Knowledge of grid-scale energy storage operations, market dynamics, and regulatory frameworks.
• Certifications in energy analytics, data science, or renewable energy technologies.

Pay

The anticipated hourly range for this role is $30.77 - $44.