Solar Performance Analytics Engineer

Vallum Associates; Greenwich (CT); On-site; USD 80,000 - 110,000; Full time

Job summary

Vallum Associates in Greenwich, CT is seeking a Solar Performance Data Analyst to extract and validate solar performance data from DAS providers and prepare reports. You will set up and program DAS software with internal teams, conduct capacity tests, and monitor system performance to support O&M teams.

The ideal candidate has a bachelor’s degree in engineering/math/physics and 3–4 years of production analytics experience, with strong data analysis and communication skills.

Qualifications

• Bachelor’s degree in Engineering, Mathematics, Physics, or related field.
• 3–4 years of experience in production analytics, performance testing, or energy asset assessments.
• Strong data analysis, problem-solving, and communication skills.
• Ability to work independently and collaborate with cross-functional teams.

Responsibilities

• Extract, validate, and analyze solar performance data from DAS providers and prepare performance reports.
• Set up and program DAS software in coordination with internal teams and providers.
• Conduct capacity testing and performance assessments for new solar projects.
• Monitor system performance, troubleshoot operational issues, and support O&M teams.
• Analyze energy losses caused by equipment outages and support problem resolution.
• Provide performance data and analytics to support customer reporting and operational decisions.

Skills

Data analysis

Problem solving

Communication

Independence

Cross-functional collaboration

Detail oriented

Adaptability

Education

Bachelor’s degree in Engineering/Math/Physics

Tools

DAS software

Data analytics tools

SQL

Job description

Vallum Associates in Greenwich, CT is seeking a Solar Performance Data Analyst to extract and validate solar performance data from DAS providers and prepare reports. You will set up and program DAS software with internal teams, conduct capacity tests, and monitor system performance to support O&M teams.

The ideal candidate has a bachelor’s degree in engineering/math/physics and 3–4 years of production analytics experience, with strong data analysis and communication skills.