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DNV

Independent assurance and risk management firm.

Senior Renewable Energy Analytics & Performance Lead

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Computer Science, Data Science, Renewable Energy, Environmental Science, or a related technical field is required.
  • Seven years of directly relevant professional experience in renewable energy, engineering consulting, atmospheric science, software development, analytics, or a related technical field is required.
  • Understanding of wind turbine subsystems, including pitch, yaw, gearboxes, generators, and towers, and core SCADA/control integration is required.
  • Demonstrated experience performing wind resource assessments and energy production assessments for utility-scale wind projects is required.
  • Strong programming experience using Python, MATLAB, R, or similar languages for data processing, automation, and analytical workflow development is required.
  • Strong digital fluency is required, including 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 is required.
  • Strong quantitative, analytical, problem-solving, and statistical analysis skills are required.
  • Strong written and verbal English communication skills are required, including the ability to communicate complex technical concepts to technical and non-technical audiences.
  • Experience providing technical leadership, mentoring, training, or reviewing the work of other professionals is required.
  • Experience supporting customer-facing consulting engagements is required.
  • Ability to manage multiple assignments and work effectively within multidisciplinary project teams is required.
  • Proficiency with Microsoft Office applications, particularly Copilot, Outlook, Excel, Word, and PowerPoint, is required.
  • Willingness to travel up to 10% domestically for internal or external business meetings is required.
  • A valid driver's license and the ability to rent and drive a car and travel on public conveyances when required are required.
  • The role requires pre-employment drug and background screening.

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 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.
  • 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.
  • 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 company 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.

Desired Qualifications

  • A master's degree in Meteorology, Atmospheric Science, Engineering, Physics, Statistics, Renewable Energy, or a related field is preferred.
  • Experience with machine learning, artificial intelligence, predictive analytics, or advanced statistical modeling is preferred.
  • Experience with cloud-based data platforms, data engineering, or enterprise-scale analytics solutions is preferred.
  • Familiarity with communication protocols such as MODBUS and OPC is preferred.
  • Experience processing and providing technical insights on solar SCADA datasets is preferred.
  • Knowledge of renewable energy project development, financing, operations, and asset management is preferred.
  • Experience with remote sensing technologies, measurement campaign design, and long-term wind resource analysis is preferred.

About the Company

DNV

Independent assurance and risk management firm.

DNV is a global assurance and risk management firm that certifies the safety and compliance of a company’s systems, products, and supply chains across industries like maritime, energy, healthcare, and food. Its work involves independent verification and certification, using standardized, science-based criteria to assess ships, pipelines, safety management, and other processes, ensuring they meet agreed standards. What sets DNV apart is its long history and wide reach: born from 19th-century maritime risk assessment, it has grown into a multinational organization with about 15,000 employees in over 100 countries, and it combines deep domain expertise with a focus on safety and sustainability, including digitalization and the energy transition. The company’s goal is to be the trusted voice on safety and sustainability, helping clients manage risk, improve reliability, and demonstrate compliance through trusted certifications and assessments.

Company size
10,001+
Company stage
Grant
Total funding
$2.1M
Headquarters
Bærum, Norway
Founded
1864

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