PV and Energy Storage Remote Operator & Data Analyst at Ameresco in Westborough, MA

Job description

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. Join us in building the infrastructure that powers the future. Explore opportunities to make a meaningful impact while growing your career with a company at the forefront of energy innovation. 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. Minimum Qualifications: Minimum of 2+ years in Solar Operations and Maintenance Electrical Engineering Degree or Electrical Journeyman's License Additional 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. The anticipated hourly range for this role is $30.77 - $44.47 per hour (presented in good faith). In addition to base pay, employees receive a comprehensive benefits package, such as health insurance, retirement plans, and paid time off, and may be eligible for performance incentives, bonuses, commissions, or equity, depending on the role. Actual pay will depend on factors such as internal equity, skills, experience, education, certifications, and location. This range supports our commitment to pay transparency and compliance with applicable laws. Compensation may vary by work location, including remote arrangements. We disclose salary ranges and benefits in all required external and internal postings and w