Renewable Energy Performance Engineer - Asset Analytics

Geronimo Power, LLC; BLOOMINGTON, Northern (MN, KY); Hybrid; USD 95,000 - 105,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Paid time off

Tuition assistance

EAP & wellness programs

Pet insurance

Job summary

Geronimo Power, LLC is seeking a Performance Engineer in Bloomington, MN to analyze data from wind, solar and battery storage projects and drive asset performance improvements. You will partner with Operations, Engineering, and Commercial teams to optimize production and inform business decisions.

The role requires a BS in a scientific field and 3+ years in solar performance analytics, with proficiency in Python and PVLib.

Qualifications

• BS in electrical engineering, meteorology, or related scientific field; MS preferred.
• 3+ years in solar performance engineering, analytics, or optimization.

Responsibilities

• Analyze meteorological and equipment performance data from operating sites.
• Identify data quality issues and coordinate with operations and engineering teams to resolve.
• Collaborate with plant operations staff to troubleshoot underperformance issues.
• Maintain and enhance internal performance monitoring processes.
• Assist in development of baseline production and loss expectations.
• Assist in performing operational assessments and support production re-forecasting activities.
• Review contractual performance testing results.
• Support asset valuation, performance benchmarking, and loss attribution analyses.
• Develop and automate reporting tools and dashboards to improve data visibility and decision-making.
• Travel approximately 10% of the time.

Skills

Python

PVLib

Data analysis

Stakeholder comms

Education

BS in electrical engineering

MS preferred

Tools

AVEVA PI historian

SCADA data

Job description

Geronimo Power, LLC is seeking a Performance Engineer in Bloomington, MN to analyze data from wind, solar and battery storage projects and drive asset performance improvements. You will partner with Operations, Engineering, and Commercial teams to optimize production and inform business decisions.

The role requires a BS in a scientific field and 3+ years in solar performance analytics, with proficiency in Python and PVLib.