Solar Energy Data Analyst Jobs (NOW HIRING)

• Conduct long-term solar resource and energy production assessments for utility-scale, distributed generation, commercial & 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, assess system losses including degradation, and support the development of bankable energy yield assessments for project development, financing, acquisition, and operational decision-making.


• Ensure deliverable quality according to DNV's standards: As one of the Senior Solar Energy Analysts on the Solar Energy Assessment team, you will prepare technical reports, collaborate with team members on appropriate assumptions and methodologies, communicate technical findings and project outcomes to customers and other project stakeholders, and conduct technical review and quality assurance activities while contributing to the continuous improvement of DNV's solar energy assessment methodologies and deliverables.


• Be a part of a trusted and independent data-driven culture: Work with DNV's team of analysts to ensure the latest industry methods, tools, and technologies are implemented. Contribute to process improvements, support the development and maintenance of analytical tools and software workflows, and develop as a trusted expert through technical rigor, innovation, and quality execution.

• 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 to accelerate data analysis, coding, quality checks, research, and technical drafting while independently validating outputs and protecting confidential information.


• Curiosity and a continuous-improvement mindset, with the ability to identify opportunities to enhance analytical methods, automate repeatable workflows, and improve the quality and efficiency of project delivery.


• Ability to critically evaluate analytical outputs, identify inconsistencies, and investigate unexpected results


• Proficiency with MS Office applications including Word and Excel.


• Strong overall computer skills and ability to learn multiple software tools.


• Ability to manage multiple projects simultaneously.


• Demonstrated excellence in written English communication and presentation abilities.


• Strong organizational and interpersonal skills.


• Ability to communicate technical information clearly and concisely to both technical and non‑technical audiences.


• Proven QHSSE mindset.

Demonstrates expertise in solar resource assessment, energy production modeling, and performance analysis, with proficiency in statistical data analysis and industry‑standard solar modeling software. Capable of delivering high‑quality technical reports and communicating complex findings to diverse stakeholders.

• Solar Resource Assessment


• Energy Production Modeling


• Statistical Data Analysis


• Python Data Science Packages


• Solar Modeling Software

• Solar Resource Assessment Principles


• Energy Production Modeling


• Statistical Data Analysis


• Measure-Correlate-Predict (MCP) Analysis


• Photovoltaic System Operation


• Data Analysis Software Proficiency


• Analytical Tool Development


• Quality Assurance Activities


• Technical Report Preparation


• Project Management

• Curiosity


• Continuous Improvement Mindset


• Organizational Skills


• Interpersonal Skills


• Written Communication

• Utility‑Scale Solar


• Distributed Generation


• Community Solar


• Residential Solar


• Hybrid Renewable Energy


• Bankable Energy Yield Assessments


• QHSSE Mindset


• Data‑Driven Culture


• Technical Review


• Process Improvements

• Excel


• Python


• Jupyter Notebooks


• Git


• SolarFarmer


• PlantPredict


• PVcase


• PVSyst


• Pvlib


• SAM