
1001 - 5000 employees
Founded 2000
⚡ Energy
🏛️ Government
Energy • Utilities • Government
Ameresco is a leading comprehensive cleantech integrator and renewable energy asset developer, owner, and operator. It is involved in implementing energy efficiency measures and infrastructure upgrades while constructing and operating distributed energy resources. The company partners with various sectors including federal, state, and local governments, utilities, healthcare, educational institutions, housing authorities, and commercial and industrial clients to provide sustainable energy solutions. With operations in the US, Canada, the UK, and Europe, Ameresco focuses on advancing the clean energy transition with its array of smart, energy-efficient technologies and financial solutions.
🕒 June 6
🏖️ New Jersey, Massachusetts – Remote
💵 $30 - $44 / hour
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
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1001 - 5000 employees
Founded 2000
⚡ Energy
🏛️ Government
Energy • Utilities • Government
Ameresco is a leading comprehensive cleantech integrator and renewable energy asset developer, owner, and operator. It is involved in implementing energy efficiency measures and infrastructure upgrades while constructing and operating distributed energy resources. The company partners with various sectors including federal, state, and local governments, utilities, healthcare, educational institutions, housing authorities, and commercial and industrial clients to provide sustainable energy solutions. With operations in the US, Canada, the UK, and Europe, Ameresco focuses on advancing the clean energy transition with its array of smart, energy-efficient technologies and financial solutions.
• 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. • Collaborate with technical teams to diagnose system issues and propose corrective actions. • Utilize data visualization tools and software to present insights effectively to management and engineering teams.
• Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience. • Experience with machine learning applications for predictive maintenance in PV and BESS systems. • 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. • Certifications in energy analytics, data science, or renewable energy technologies.
• health insurance • retirement plans • paid time off
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