Senior Wind Energy Analyst

DNV•Seattle, WA

2d•Hybrid

About The Position

DNV Energy Systems' Renewables and Power Advisory Group is seeking a Senior Wind Energy Assessment Analyst to join its Wind Energy Assessment team. The role supports technical consulting services for utility-scale wind energy projects across the United States and Canada. The analyst works with engineers, atmospheric scientists, meteorologists, and other renewable energy professionals to evaluate wind resources, energy production, project performance, and project risk throughout the project lifecycle. The team delivers pre-construction and operational energy assessments, SCADA analytics, repowering studies, remote sensing verification, and wind resource characterization for developers, investors, lenders, utilities, and project owners. The role contributes technical expertise, supports customer discussions and project delivery, mentors developing professionals, and helps advance wind energy across North America. It also applies AI and supports automation, digital tools, and process improvements to improve decision-making, efficiency, quality, and scalability. The position is based at a DNV office in Seattle, Portland, Oakland, San Diego, Austin, Houston, Dallas, New York City, Arlington, or Medford. The hybrid schedule typically requires working three days per week from a DNV office or client location/site. Domestic travel of up to 10% is required.

Requirements

Bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Renewable Energy, Environmental Science, or a related technical field.
Five 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 writing clear, detailed technical reports, presentations, and emails and communicating 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 colleagues' 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 domestically up to 10% for internal or external business meetings.
Valid driver's license and ability to rent and drive a car and travel on public conveyances when required.
Must pass pre-employment drug and background screening.

Nice To Haves

Master's degree in Meteorology, Atmospheric Science, Engineering, Physics, Statistics, Renewable Energy, or a related field.
Experience supporting customer-facing consulting projects.
Knowledge of renewable energy project development, financing, or operations.
Familiarity with remote sensing technologies and measurement campaign design.
Experience developing, automating, and maintaining analytical workflows using Python or comparable programming languages, leveraging version control and modern software development practices in environments such as Visual Studio Code and GitHub.

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.
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 customer relationships 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 development and implementation of automation, digital tools, and process improvements using AI.
Apply AI solutions to business problems to 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.
Review technical work and support colleagues' development through coaching, mentoring, or informal leadership.

Benefits

Generous paid time off, including vacation, sick days, company holidays, and personal days.
Multiple medical and dental benefit plans.
Vision benefits.
Flexible spending accounts, dependent care accounts, commuter benefits, and a company-seeded HSA.
Employer-paid, therapist-led virtual care services through Talkspace.
401(k) with company match.
Company-provided life insurance and short-term and long-term disability benefits.
Education reimbursement program.
Flexible work schedule with hybrid opportunities.
Charitable matched giving and volunteer rewards through the Impact Program.
Company-paid volunteer time off.
Career advancement opportunities.