Senior Analyst, Performance Engineering

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.

Requirements

• 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?
• We believe you should love what you do and love where you work, which is why we offer a wide range of benefits to support your personal and professional well-being.
• 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

Benefits

Additional Information

About Arevon Arevon is a U.S. energy leader committed to powering America with affordable, reliable, and secure homegrown energy. Headquartered in Scottsdale, Arizona, and with a regional office in New York City, the company's experienced and dedicated team develops, finances, builds, owns, and operates renewable energy projects nationwide. With a strong track record in utility-scale solar and energy storage, Arevon is a trusted partner to utilities and businesses seeking cost-effective, sustainable energy solutions. By prioritizing American manufacturing and domestic energy production, the company invests in U.S. jobs, strengthens local economies, and advances the country's energy independence. The Position Arevon is recruiting for the position of Senior Analyst, Performance Engineer , an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries for the 21st century. Our company culture is one where teamwork, adaptability, continuous improvement, achievement of results, and willingness to grow are our core values. The successful candidate will have a superior professional background at a high caliber institution, having exceeded in Engineering or a Mathematical Science Discipline and multiple years of work experience in Data Engineering and Data Science roles.

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