PV and Energy Storage Remote Operator & Data Analyst

Remote in Westborough, MA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
USD $30.77 - 44.47 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • .NET
  • Public Sector
  • Higher Education
  • Health Care
  • Cost Reduction
  • Innovation
  • Sustainability
  • Attention To Detail
  • Data Storage
  • Real-time
  • Performance Metrics
  • Collaboration
  • Data Visualization
  • Management
  • Predictive Analytics
  • Forecasting
  • Preventive Maintenance
  • Data Integrity
  • Documentation
  • Analytical Skill
  • Machine Learning (ML)
  • Electrical Engineering
  • Data Analysis
  • Python
  • SQL
  • Microsoft Excel
  • Visualization
  • Microsoft Power BI
  • Tableau
  • SCADA
  • System Monitoring
  • Asset Management
  • Problem Solving
  • Conflict Resolution
  • Optimization
  • Communication
  • Articulate
  • GRID
  • Storage
  • Dynamics
  • Analytics
  • Data Science
  • Energy
  • Health Insurance
  • Regulatory Compliance
  • Recruiting
  • SAP BASIS
  • SMC
  • Insurance
  • Reporting

Summary

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.

At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers.

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.

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:
  • Experience with machine learning applications for predictive maintenance in PV and BESS systems.
  • Comfortable working independently, ensuring seamless handover to the next working shift.

Additional Qualifications:
  • Electrical engineering degree or electrical license with two years + of solar operations and maintenance experience.
  • 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 will provide further details upon request at any stage of the hiring process. Applications are accepted on a rolling basis until the position is filled.

#LI-SMC

Ameresco challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans.

All official communications from Ameresco will originate from an @ameresco.com email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered. For further inquiries or concerns, please contact us at 1-866-AMERESCO

Ameresco is an Equal Opportunity Employer.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10283444
  • Position Id: 92960d2c9b14615b94234e9e44ab8cd7
  • Posted 4 hours ago
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