Senior Renewable Energy Analytics & Performance Lead

DNV • Seattle, WA

4d • Hybrid

About The Position

DNV Energy Systems' Renewables and Power Advisory group is seeking a Senior Renewable Energy Analytics & Performance Lead for its Wind Energy Assessment team. The role supports technical consulting for utility-scale wind energy projects across the U.S. and Canada, combining wind energy assessment with advanced analytics, process automation, custom data processing, and technical leadership. The successful candidate will work with engineers and renewable energy professionals to develop analytical solutions, automate workflows, process complex datasets, and provide insights that support project decisions throughout the project lifecycle.

The role is a key technical resource within the team, driving improvements in analytical methodologies, digitalization, data management, and automation while maintaining technical excellence in project execution. The team provides pre-construction and operational energy assessments, SCADA analytics, repowering studies, remote sensing verification, greenfield development services, and wind resource characterization for developers, investors, lenders, utilities, and project owners.

The position is based at a DNV office in Seattle, Portland, Oakland, San Diego, Austin, Houston, Dallas, New York City, Arlington, or Medford. It follows a hybrid schedule, with employees typically spending three days per week at a DNV office or client location/site. The role may require up to 10% domestic travel.

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 years of directly relevant professional experience in renewable energy, engineering consulting, atmospheric science, software development, analytics, or a related technical field.
• Understanding of wind turbine subsystems, including pitch, yaw, gearboxes, generators, and towers, and core SCADA/control integration.
• Demonstrated experience performing wind resource and energy production assessments for utility-scale wind projects.
• Strong programming experience with Python, MATLAB, R, or similar languages for data processing, automation, and analytical workflow development.
• Ability to critically evaluate AI-generated outputs, apply sound judgment, ensure quality and accuracy, and use AI responsibly in accordance with company policies and governance standards.
• Demonstrated experience processing and managing large, complex datasets, including meteorological, SCADA, operational, remote sensing, or geospatial data, using coding and analytical tools.
• Strong quantitative, analytical, problem-solving, and statistical analysis skills.
• Strong written and verbal English communication skills, including communicating complex technical concepts to technical and non-technical audiences.
• Experience providing technical leadership, mentoring, training, or reviewing other professionals' work.
• Experience supporting customer-facing consulting engagements.
• Ability to manage multiple assignments and work effectively within multidisciplinary project teams.
• Proficiency with Microsoft Office applications, particularly Copilot, Outlook, Excel, Word, and PowerPoint.
• Willingness to travel up to 10% domestically 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.
• Successful completion of 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 with machine learning, artificial intelligence, predictive analytics, or advanced statistical modeling.
• Experience with cloud-based data platforms, data engineering, or enterprise-scale analytics solutions.
• Familiarity with communication protocols such as MODBUS and OPC.
• Experience processing solar SCADA datasets and providing technical insights.
• Knowledge of renewable energy project development, financing, operations, and asset management.
• Experience with remote sensing technologies, measurement campaign design, and long-term wind resource analysis.

Responsibilities

• Analyze turbine and wind plant SCADA data to track power curves, evaluate energy yield, identify lost production, and diagnose recurring faults or derates.
• Lead wind resource and energy assessments for utility-scale wind projects supporting development, financing, construction, and operational decisions.
• Analyze meteorological, reanalysis, operational, SCADA, remote sensing, and geospatial datasets to develop energy production estimates and uncertainty assessments.
• Contribute technical expertise to pre-construction and operational assessments, independent engineer assignments, repowering studies, and technical due diligence reviews.
• Evaluate project performance, uncertainty, losses, and risk factors using industry-standard and internally developed methods.
• Prepare and review technical reports, presentations, and customer-facing deliverables.
• Build customer relationships and participate in technical discussions supporting informed project outcomes.
• Design, maintain, and enhance analytical tools, scripts, and automated workflows for wind energy assessment and efficient project delivery.
• Process, manage, and analyze large-scale datasets using coding, automation, and data analytics techniques.
• Develop custom analytical workflows and data-processing solutions to address customer requirements, automate repetitive tasks, and improve consistency and scalability.
• Maintain and enhance internal databases, templates, scripts, and analytical systems.
• Identify and implement opportunities to integrate AI into workflows and improve efficiency, innovation, customer outcomes, and business performance.
• Support development and implementation of data visualization, analytics, and decision-support tools.
• Serve as a subject matter expert in complex data processing, statistical analysis, uncertainty evaluation, and analytical troubleshooting.
• Develop, document, and standardize transparent, reproducible, and scalable analytical methodologies aligned with DNV best practices.
• Provide technical oversight and peer review for data-intensive projects and analytical workflows.
• Mentor analysts in coding, data management, automation, and advanced analytical methods.
• Promote knowledge sharing and cross-training and contribute to technical innovation and the long-term evolution of Wind Energy Assessment services.

Benefits

• Generous paid time off, including vacation, sick days, company holidays, and personal days.
• Multiple medical and dental benefit plans.
• Vision benefits.
• Flexible Spending Account, Dependent Care, Commuter Benefits, and company-seeded Health Savings Account.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior