PV and Energy Storage Remote Operator & Data Analyst

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.
• 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' 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

• 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.
• The 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.

Skills

• Data analysis and interpretation.
• Machine learning applications for predictive maintenance.
• SCADA systems and monitoring platforms.
• Renewable energy asset management software.
• Problem-solving and troubleshooting abilities.
• Data visualization and presentation skills.

Pay

The anticipated hourly range for this role is $30.77 - $44.47 per hour (presented in good faith).

Schedule

Not specified.

Benefits

Comprehensive benefits package, including 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.