Senior renewable energy analytics lead advancing utility-scale wind assessments for DNV. Building automated data workflows, analyzing SCADA performance, and guiding technical consulting.
Responsibilities
Analyze turbine and wind plant SCADA data to track power curves, evaluate energy yield, identify lost production, and diagnose faults or derates
Lead wind resource and energy assessments for utility-scale wind projects across development, financing, construction, and operations
Analyze meteorological, reanalysis, operational, SCADA, remote sensing, and geospatial datasets
Contribute to pre-construction assessments, independent engineer assignments, operational assessments, repowering studies, and technical due diligence
Evaluate project performance, uncertainty, losses, and risks
Prepare and review technical reports, presentations, and customer-facing deliverables
Build customer relationships and participate in technical discussions
Design, maintain, and enhance analytical tools, scripts, databases, and automated workflows
Process large-scale datasets using coding, automation, and advanced analytics
Develop custom data-processing solutions and automate repetitive tasks
Embed AI into workflows and support advanced visualization, analytics, and decision-support tools
Serve as a technical subject matter expert for data processing, statistical analysis, uncertainty evaluation, and troubleshooting
Develop, document, and standardize analytical methodologies
Provide technical oversight and peer review
Mentor analysts on coding, data management, automation, and advanced analytical methods
Promote knowledge sharing and cross-training
Contribute to technical innovation and the long-term evolution of Wind Energy Assessment services
Requirements
Bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Computer Science, Data Science, Renewable Energy, Environmental Science, or a related technical field
Seven (7) years of directly relevant professional experience
Understanding of wind turbine sub-systems and core SCADA/control integration
Demonstrated experience performing wind resource and energy production assessments for utility-scale wind projects
Strong programming experience using Python, MATLAB, R, or similar languages
Ability to critically evaluate AI-generated outputs and use AI responsibly
Experience processing and managing large, complex meteorological, SCADA, operational, remote sensing, or geospatial datasets
Strong quantitative, analytical, problem-solving, and statistical analysis skills
Strong written and verbal English communication skills
Experience providing technical leadership, mentoring, training, or reviewing other professionals
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