Senior Renewable Energy Analytics & Performance Lead

DNV Energy Systems' Renewables and Power Advisory group is seeking a Senior Renewable Energy Analytics & Performance Lead to join our Wind Energy Assessment team.

This role supports the delivery and continuous advancement of technical consulting services for utility-scale wind energy projects across the U.S. and Canada. The position combines traditional wind energy assessment responsibilities with advanced data analytics, process automation, custom data processing, and technical leadership.
As a Senior Renewable Energy Analytics & Performance Lead, you will work with engineers and renewable energy professionals to develop innovative analytical solutions, automate assessment workflows, process large and complex datasets, and support critical project decisions throughout the project lifecycle through providing insight regarding data outputs.

This position serves as a key technical resource within the Wind Energy Assessment team and is expected to drive improvements in analytical methodologies, digitalization, data management, and automation capabilities while maintaining technical excellence in project execution.

Our team delivers a wide range of services including pre-construction energy assessments, operational assessments, SCADA analytics, repowering studies, remote sensing verification, greenfield development services, and wind resource characterization. We help developers, investors, lenders, utilities, and project owners make informed decisions that enable successful renewable energy projects.

Why should you work for us?
Because within DNV’s Renewables and Power group and organizational culture, how we collectively influence the world for future generations matters deeply to us. Our team works every day to increase the widespread deployment and operation of renewables to address climate change and positively impact society; endeavors to achieve our purpose through the success of our customers; and strives to be high-performing and innovative. Our approach reflects the equity, respect, and diversity we wish to see in the world.

Do you enjoy solving complex technical problems using data, coding, and advanced analytical methods? Are you interested in analyzing the performance of operating wind and solar assets? Do you enjoy developing tools and automated workflows that improve how renewable energy projects are assessed and delivered? Would you like to combine deep wind energy expertise with software development, analytics, and technical leadership to help shape the future of wind energy assessment?

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

Wind Energy Assessment, Performance Analysis & Consulting

- Analyze turbine and wind plant SCADA data to track power curves, evaluate energy yield, identify lost production, diagnose recurring faults or derates.

- Lead wind resource and energy assessments for utility-scale wind projects, supporting early-stage development, financing, construction, and operational decision-making.

- Perform advanced analysis of meteorological, reanalysis, operational, SCADA, remote sensing, and geospatial datasets to develop defensible energy production estimates and uncertainty assessments.

- Contribute technical 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 factors using industry-standard and internally developed methodologies.

- Prepare and review technical reports, presentations, and customer-facing deliverables.

- Build trusted customer relationships and participate in technical discussions that support informed project outcomes.

Analytics, Operational Efficiency & Technical Problem Solving

- Design, maintain, and enhance analytical tools, scripts, and automated workflows used to solve complex wind energy assessment challenges and improve project delivery efficiency.

- Process, manage, and analyze large-scale datasets using coding, automation, and advanced data analytics techniques that improve efficiency, consistency, and scalability beyond traditional spreadsheet-based methods.

- Develop custom analytical workflows and data-processing solutions to address unique customer requirements, automate repetitive tasks, and improve the consistency and scalability of technical analyses.

- Maintain and enhance internally developed databases, templates, scripts, and analytical systems that support business operations and consulting services.

- Continuously identify and implement opportunities to embed AI into workflows, improving operational efficiency, innovation, customer outcomes, and business performance.

- Support the development and implementation of advanced data visualization, analytics, and decision-support tools.

Technical Leadership & Knowledge Sharing

- Serve as a technical subject matter expert for complex data processing, statistical analysis, uncertainty evaluation, and analytical troubleshooting challenges.

- Develop, document, and standardize analytical methodologies to ensure technical approaches are transparent, reproducible, scalable, and aligned with DNV best practices.

- Provide technical oversight and peer review for data-intensive projects and analytical workflows.

- Mentor analysts on coding, data management, automation techniques, and advanced analytical methods.

- Promote knowledge sharing and cross-training to reduce reliance on single individuals and improve organizational resilience.

- Contribute to technical innovation initiatives and the long-term evolution of Wind Energy Assessment services.

What Is Required

- Bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Computer Science, Data Science, Renewable Energy, Environmental Science, or a related technical field.
- Seven (7) 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 sub-systems (pitch, yaw, gearboxes, generators, towers) and 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.
- Strong digital fluency with the 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 communication English language skills, including the ability to communicate complex technical concepts to both technical and non-technical audiences.
- Experience providing technical leadership, mentoring, training, or reviewing the work of other professionals.
- 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.
- 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
- 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 (MODBUS, OPC)
- Experience in processing and providing technical insights on solar SCADA datasets
- 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.

*Immigration-related employment benefits, for example visa sponsorship, are not available for this position