Jobs · Information Technology · Oregon

PV and Energy Storage Remote Operator & Data Analyst

Ameresco · Oregon, United States · 3 wk ago
Information Technology$30.77–$44.47/hrFull-time

Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe. Our comprehensive portfolio addresses today’s challenges and adapts to the future, ensuring long-term sustainability and success for our customers.

About the role

We have 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.

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.
  • Handle complex and critical issues in a timely manner.
  • Collaborate with technical teams to diagnose system issues and propose corrective actions.
  • 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

  • Electrical engineering degree or electrical license with at least two years of solar operations and maintenance experience.
  • Experience with machine learning applications for predictive maintenance in PV and BESS systems.
  • Comfortable working independently, ensuring seamless handover to the next working shift.

Qualifications

  • 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 concisely.
  • 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 - $44.47 per hour. Actual pay will depend on factors such as internal equity, skills, experience, education, certifications, and location.

Benefits

  • Comprehensive health insurance.
  • Retirement plans.
  • Paid time off.
  • Eligibility for performance incentives, bonuses, commissions, or equity, depending on the role.

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