Bachelor's degree in a relevant technical field such as Meteorology or Renewable Energy
5+ years of experience in renewable energy or engineering consulting
Proven expertise in wind resource and energy production assessments
Strong analytical skills with experience in data interpretation
Familiarity with AI applications in operational efficiency
Excellent communication skills for technical reporting and presentations
Proficiency in industry software and Microsoft Office applications
Responsibilities
Support wind resource and energy production assessments for utility-scale projects
Collaborate with multidisciplinary teams to analyze meteorological and operational data
Contribute to pre-construction energy assessments and technical due diligence
Evaluate project performance and associated risks
Prepare and review technical reports and customer deliverables
Engage in technical discussions to foster customer relationships
Support remote sensing activities and data analysis
Benefits
Generous paid time off including vacation and personal days
Multiple medical and dental plans, plus vision benefits
Flexible spending accounts and company-seeded HSA
Employer-paid virtual care services through Talkspace
401(k) with company match
Life insurance and disability benefits
Education reimbursement program
Flexible work schedule with hybrid options
Charitable matched giving and volunteer rewards
Paid volunteer time off (VTO)
Career advancement opportunities
Full Job Description
Job Description
DNV Energy Systems' Renewables and Power Advisory Group is seeking a Senior Wind Energy Assessment Analyst to join our Wind Energy Assessment team.
This role supports the delivery of technical consulting services for utility-scale wind energy projects across the U.S. & Canada. As a Senior Wind Energy Analyst, you will work with a multidisciplinary team of engineers, atmospheric scientists, meteorologists, and renewable energy professionals to evaluate wind resources, energy production, project performance, and project risk throughout the project lifecycle.
This role is based at our DNV office in Seattle, WA; Portland, OR; Oakland, CA; San Diego, CA; Austin, TX; Houston, TX; Dallas, TX; New York City, NY; Arlington, VA; Medford, MA; presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site.
Further details regarding role-specific requirements will be shared during the interview process.
What You'll Do
Support the delivery of 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.
Partner with project teams to evaluate project performance, uncertainty, and risk factors.
Support operational energy assessments using SCADA and production data.
Prepare and review technical reports, presentations, and customer deliverables.
Build trusted relationships with customers and participate in technical discussions to support informed project outcomes.
Support remote sensing and measurement campaign activities, including LiDAR and meteorological data analysis.
Contribute to wake loss, site suitability, and performance assessment studies
Support the development and implementation of automation, digital tools, and process improvements through use of AI.
Apply AI solutions to solve business problems, improve decision-making, automate routine activities, and enhance the effectiveness, accuracy, quality, and scalability of work products and services.
Collaborate with project managers and technical specialists to deliver high-quality projects safely, on time, and within budget. Contribute to technical knowledge sharing, training, and continuous improvement initiatives.
Responsibilities
Generous paid time off (vacation, sick days, company holidays, personal days)
Multiple Medical and Dental benefit plans to choose from, Vision benefits
Spending accounts - FSA, Dependent Care, Commuter Benefits, company-seeded HSA
Employer-paid, therapist-led, virtual care services through Talkspace
401(k) with company match
Company provided life insurance, short-term, and long-term disability benefits
Education reimbursement program
Flexible work schedule with hybrid opportunities
Charitable Matched Giving and Volunteer Rewards through our Impact Program
Volunteer time off (VTO) paid by the company
Career advancement opportunities
**Benefits vary based on position, tenure, location, and employee election**
DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. The range of starting pay for this role is $90,000 - $ 170,000 USD.
Qualifications
What Is Required
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 Demonstrated 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, including the ability to write clear and detailed technical reports, presentations, and emails, and to effectively communicate technical concepts to non-technical audiences.
Demonstrated experience using AI to improve operational efficiency, innovation, customer outcomes and business performance.
Experience reviewing technical work and supporting the development of colleagues 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 for internal or external business meetings
Must possess a valid driver's license and be able to rent and drive a car and travel on public conveyances when required.
Strong written and verbal English communication skills.
We conduct pre-employment drug and background screening.
What is Preferred
Master's degree in Meteorology, Atmospheric Science, Engineering, Physics, Statistics, Renewable Energy, or a related field.
Knowledge of renewable energy project development, financing, or operations familiarity with remote sensing technologies and measurement campaign design.
Demonstrated experience developing, automating, and maintaining analytical workflows using Python, or comparable programming languages, leveraging version control and modern software development practices within environments such as Visual Studio Code and GitHub.
*Immigration-related employment benefits, for example visa sponsorship, are not available for this position
About Det Norske Veritas
Det Norske Veritas Careers
Joining Det Norske Veritas presents an unparalleled opportunity to become part of a global team of professionals dedicated to fostering innovation, leadership, and growth in the industry. Det Norske Veritas, a leader in risk management and quality assurance, offers a range of job opportunities that empower professionals to advance their careers in meaningful directions.
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Embark on a rewarding career journey with Det Norske Veritas and be part of a team that values integrity, safety, and reliability in every aspect of their work.