Senior Analyst, Performance Engineering

Key Responsibilities

• Maximizing performance of assets through building and developing tools and products that determine overall health of solar and battery storage assets.
• Use existing tools to develop, implement, and improve methods for detecting, reporting, and analyzing performance issues.
• Lead the implementation of monitoring software to capture project data and perform detailed analysis for solar and BESS KPIs and monthly reporting.
• Keep abreast of the latest PVsyst and performance modelling developments, develop new methods/tools as appropriate, and train team members on any new procedures.
• Develop strategies to optimize performance of renewable assets and identify areas of underperformance, drive improvements and corrective actions.
• Support Project Development team with inverter, battery, transformer and tracker/racking technologies in support of equipment selection and procurement and build a team to support the reliability analysis of various components.
• Communicate with the Operations Engineering team on revenue impacting underperformance events.
• Continuously evaluate software systems, processes, procedures and drive improvement within the performance and operational engineering teams.
• Coordinating with internal and external engineering and construction teams on project substantial completion testing and verifying or running capacity tests.
• Aide in the technical due-diligence process for potential acquisitions.
• Review technical documents and acceptance test during the project handover process.

Required Qualifications

• Bachelor’s or Master’s degree in Electrical/Electronics/Mechanical/Solar/STEM Engineering, Statistics, or a related quantitative field.
• 2+ years of professional experience in a Solar and BESS Performance Engineering.
• Experience with Solar Modelling tools like PVsyst and PlantPredict.
• Excellent understanding of Operational Data and energy calculation methodologies.
• Proficient with Python and PVlib.
• Excellent at problem solving and analytical skills.
• Experience with deployment of AI to improve workflows.

Preferred Qualifications

• Prior professional experience working in renewable energy space.
• Strong preference for Machine Learning deployment methodologies.
• A strong desire to work in the solar energy industry.
• Experience with DAS/SCADA.
• Extended Experience with data analytics, databases and visualization tools (eg Python, R, SQL, Tableau, Databricks, Power BI).
• Excellent communication skills with the ability to succinctly summarize complex technical issues, both in writing and verbally.

Why Join Arevon?

• Competitive Compensation and Incentives
• Generous Paid Time Off
• Flexible Work Environment
• 401(k) Plan with 6% Company match
• Tuition Reimbursement Program
• Paid Parental and Caregiver Leave
• Inspiring Company Culture
• Professional Development Opportunities

Equal Opportunity Employer Statement

Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.