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About the role

  • Senior renewable energy analytics lead advancing utility-scale wind assessments for DNV. Building automated data workflows, analyzing SCADA performance, and guiding technical consulting.

Responsibilities

  • Analyze turbine and wind plant SCADA data to track power curves, evaluate energy yield, identify lost production, and diagnose faults or derates
  • Lead wind resource and energy assessments for utility-scale wind projects across development, financing, construction, and operations
  • Analyze meteorological, reanalysis, operational, SCADA, remote sensing, and geospatial datasets
  • Contribute to pre-construction assessments, independent engineer assignments, operational assessments, repowering studies, and technical due diligence
  • Evaluate project performance, uncertainty, losses, and risks
  • Prepare and review technical reports, presentations, and customer-facing deliverables
  • Build customer relationships and participate in technical discussions
  • Design, maintain, and enhance analytical tools, scripts, databases, and automated workflows
  • Process large-scale datasets using coding, automation, and advanced analytics
  • Develop custom data-processing solutions and automate repetitive tasks
  • Embed AI into workflows and support advanced visualization, analytics, and decision-support tools
  • Serve as a technical subject matter expert for data processing, statistical analysis, uncertainty evaluation, and troubleshooting
  • Develop, document, and standardize analytical methodologies
  • Provide technical oversight and peer review
  • Mentor analysts on coding, data management, automation, and advanced analytical methods
  • Promote knowledge sharing and cross-training
  • Contribute to technical innovation and the long-term evolution of Wind Energy Assessment services

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 (7) years of directly relevant professional experience
  • Understanding of wind turbine sub-systems and core SCADA/control integration
  • Demonstrated experience performing wind resource and energy production assessments for utility-scale wind projects
  • Strong programming experience using Python, MATLAB, R, or similar languages
  • Ability to critically evaluate AI-generated outputs and use AI responsibly
  • Experience processing and managing large, complex meteorological, SCADA, operational, remote sensing, or geospatial datasets
  • Strong quantitative, analytical, problem-solving, and statistical analysis skills
  • Strong written and verbal English communication skills
  • Experience providing technical leadership, mentoring, training, or reviewing other professionals
  • Experience supporting customer-facing consulting engagements
  • Ability to manage multiple assignments within multidisciplinary project teams
  • Proficiency with Microsoft Office, particularly Copilot, Outlook, Excel, Word, and PowerPoint
  • Willingness to travel up to 10% domestically
  • Must possess a valid driver's license and be able to rent and drive a car and use public conveyances when required
  • Pre-employment drug and background screening
  • Visa sponsorship is not available

Benefits

  • Generous paid time off, including vacation, sick days, company holidays, and personal days
  • Medical, dental, and vision benefit plans
  • Employee Assistance Program
  • Accident and critical illness options for employees and family
  • Mental health resources
  • RRSP with company match
  • Company-provided life insurance
  • Short-term and long-term disability benefits
  • Education Assistance Program
  • Flexible work schedule with hybrid opportunities
  • Consumer discounts and rewards through BenefitsHub
  • Advancement opportunities

Job title

Job type

Full Time

Experience level

Senior

Salary

CA$125,000 - CA$198,000 per year

Degree requirement

Bachelor's Degree

Tech skills

PythonRemote Sensing

Location requirements

HybridTorontoCanada

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