Senior wind energy analyst assessing resources, production, performance, and risk for DNV's renewable energy consulting business. Supporting utility-scale projects across the U.S. and Canada.
Responsibilities
Support wind resource and energy production assessments for utility-scale wind energy projects
Collaborate with multidisciplinary teams to interpret meteorological, operational, and energy production datasets
Contribute technical expertise to pre-construction energy assessments, independent engineer assignments, and technical due diligence reviews
Evaluate project performance, uncertainty, and risk factors with project teams
Support operational energy assessments using SCADA and production data
Prepare and review technical reports, presentations, and customer deliverables
Build trusted customer relationships and participate in technical discussions
Support remote sensing and measurement campaigns, including LiDAR and meteorological data analysis
Contribute to wake loss, site suitability, and performance assessment studies
Support automation, digital tools, process improvements, and AI implementation
Apply AI solutions to improve decision-making, automate routine activities, and enhance work products and services
Collaborate with project managers and technical specialists to deliver projects safely, on time, and within budget
Contribute to technical knowledge sharing, training, and continuous improvement initiatives
Requirements
Bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Renewable Energy, Environmental Science, or a related technical field
Five (5) years of directly relevant professional experience in renewable energy, engineering consulting, data analytics, atmospheric science, or a related technical field
Experience performing wind resource assessments or energy production assessments
Familiarity with wind energy assessment methodologies and uncertainty analysis
Experience analyzing and interpreting wind industry datasets, including SCADA, meteorological towers, LiDAR, or operational performance data
Strong quantitative, analytical, and problem-solving skills
Strong written and verbal English communication skills
Demonstrated experience using AI to improve operational efficiency, innovation, customer outcomes, and business performance
Experience reviewing technical work and supporting colleague development through coaching, mentoring, or informal leadership
Ability to manage multiple assignments and work effectively in a collaborative team environment
Proficiency with Microsoft Office applications, particularly Copilot, Outlook, Excel, Word, and PowerPoint
Experience with industry software such as WindFarmer, Openwind, GIS tools, CFD applications, or similar platforms
Experience with automation, scripting, machine learning, or data visualization tools
Willingness to travel up to 10% domestically
Must possess a valid driver's license and be able to rent and drive a car and travel on public conveyances when required
Pre-employment drug and background screening
English proficiency required; recruitment process conducted in English
Visa sponsorship is not available
Benefits
Generous paid time off, including vacation, sick days, company holidays, and personal days
Medical, dental, and vision benefit plans
Employee Assistance Program
Accident and critical illness options for employees and family
Mental health 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 BenefitsHub
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