Senior Renewable Energy Analytics & Performance Lead

DNV•Seattle, WA

4d•$120,000 - $195,000•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 projects across the U.S. and Canada, combining wind energy assessment with advanced data analytics, process automation, custom data processing, and technical leadership. The successful candidate will develop analytical solutions, automate assessment workflows, process complex datasets, and provide insights that inform project decisions throughout the project lifecycle. This position is a key technical resource within the team, driving improvements in analytical methodologies, digitalization, data management, and automation while maintaining high standards in project execution. The team’s services include 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 may be based at a DNV office in Seattle, Portland, Oakland, San Diego, Austin, Houston, Dallas, New York City, Arlington, or Medford. It has a hybrid schedule, typically with three days per week at a DNV office or client location/site. Domestic travel of up to 10% is required. Starting pay is $120,000–$195,000 USD. Visa sponsorship is not available.

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 of core SCADA/control integration.
Demonstrated experience performing wind resource assessments and energy production assessments for utility-scale wind projects.
Strong programming experience using Python, MATLAB, R, or similar languages for data processing, automation, and analytical workflow development.
Digital fluency, including ability to critically evaluate AI-generated outputs, exercise sound judgment, ensure quality and accuracy, and use AI responsibly under company policies and governance standards.
Experience processing and managing large, complex meteorological, SCADA, operational, remote sensing, or geospatial datasets using coding and analytical tools.
Strong quantitative, analytical, problem-solving, and statistical analysis skills.
Strong written and verbal English communication skills, including the ability to communicate 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 in multidisciplinary project teams.
Proficiency with Microsoft Office applications, particularly Copilot, Outlook, Excel, Word, and PowerPoint.
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 use public conveyances when required.
Must complete 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 expertise to pre-construction energy assessments, independent engineer assignments, operational assessments, repowering studies, and technical due diligence reviews.
Evaluate project performance, uncertainty, losses, and risk using industry-standard and internally developed methodologies.
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 to address wind energy assessment challenges and improve project delivery efficiency.
Process, manage, and analyze large-scale datasets using coding, automation, and advanced analytics techniques.
Develop custom analytical workflows and data-processing solutions to meet customer requirements, automate repetitive tasks, and improve consistency and scalability.
Maintain and enhance internal databases, templates, scripts, and analytical systems supporting business operations and consulting services.
Identify and implement opportunities to embed AI in workflows to improve efficiency, innovation, customer outcomes, and business performance.
Support development and implementation of data visualization, analytics, and decision-support tools.
Serve as a technical subject matter expert for complex data processing, statistical analysis, uncertainty evaluation, and analytical troubleshooting.
Develop, document, and standardize transparent, reproducible, 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, contribute to technical innovation initiatives, and support 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, plus vision benefits.
Flexible spending accounts, dependent care spending accounts, commuter benefits, and 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.