Senior Solar Energy Analyst evaluating solar resources, production, and plant performance for DNV. Supporting bankable renewable-project decisions through modeling, analysis, and technical assurance.
Responsibilities
Conduct long-term solar resource and energy production assessments for utility-scale, distributed generation, commercial and industrial, community solar, residential, and hybrid renewable energy projects.
Analyze solar and climatic datasets, perform energy modeling, predict energy production, and conduct statistical uncertainty analyses.
Analyze operational production and performance data from solar plants.
Evaluate resource variability, derive modeling parameters, and assess system losses including degradation.
Support bankable energy yield assessments for project development, financing, acquisition, and operational decision-making.
Prepare technical reports and ensure deliverable quality according to DNV standards.
Collaborate with team members on assumptions and methodologies.
Communicate technical findings and project outcomes to customers and stakeholders.
Conduct technical review and quality assurance activities.
Contribute to continuous improvement of solar energy assessment methodologies and deliverables.
Help implement current industry methods, tools, and technologies.
Contribute to process improvements and support development and maintenance of analytical tools and software workflows.
Requirements
Bachelor's Degree in relevant engineering, atmospheric science, mathematics, environmental science, or related quantitative field.
Minimum Five (5) years of experience performing a similar role in North America.
Comprehensive understanding of solar resource assessment principles, solar energy production modeling, solar plant performance analysis, and photovoltaic system operation.
Experience conducting Measure-Correlate-Predict (MCP) analyses and understanding solar resource variability and its impact on long-term energy estimates.
Strong statistical data-analysis skills, with proficiency in Excel, Python, or other data-analysis software.
Proficiency with Python data science packages (e.g., Pandas, NumPy), Jupyter notebooks, version control systems (e.g., Git), and software development workflows.
Experience with industry-standard solar modeling software such as SolarFarmer, PlantPredict, PVcase, PVSyst, pvlib, SAM, or similar tools.
Ability and experience using approved AI tools for data analysis, coding, quality checks, research, and technical drafting, with independent output validation and protection of confidential information.
Ability to critically evaluate analytical outputs, identify inconsistencies, and investigate unexpected results.
Proficiency with Microsoft Office applications including Word and Excel.
Strong overall computer skills and ability to learn multiple software tools.
Ability to manage multiple projects simultaneously.
Strong written and verbal English communication skills.
Ability to communicate technical information clearly and concisely to technical and non-technical audiences.
Proven QHSSE mindset.
Successful pre-employment background and drug screening.
Able to sit for long periods when working in the office.
Experience with advanced degree and eight years of experience is preferred, not required.
Immigration-related employment benefits, including visa sponsorship, are not available.
Benefits
Generous paid time off (vacation, sick days, company holidays, personal days)
Medical, Dental, and Vision benefit plans available to all employees
Employee Assistance Program
Accident and critical illness options for you and your family
Workplace strategies for mental help resources
Registered Retirement Savings Plan (RRSP) with company match
Company provided life insurance
Short-term and long-term disability benefits
Education Assistance Program
Flexible work schedule with hybrid opportunities
Consumer discounts and rewards through our BenefitsHub
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