Turn complex renewable energy datasets into project insight at DNV, combining Python, automation, and statistical analysis across a hybrid Canadian office model.
As a senior consultant, you will support Wind Energy Assessment services for utility-scale projects in the United States and Canada. Your work spans large-scale data processing, energy yield estimates, uncertainty evaluation, and technical consulting. You will develop repeatable solutions that improve analytical consistency and scalability beyond spreadsheet-based methods.
Key Responsibilities: Develop defensible energy production estimates and uncertainty assessments
Evaluate project performance, losses, uncertainty, and risk factors
Design and maintain scripts, databases, templates, and analytical systems




Automate repetitive tasks and address unique customer requirements
Support advanced visualization, analytics, and decision-support tools
Requirements: Seven years of relevant renewable energy or technical experience
Bachelor’s degree in engineering, science, or related technical field
Experience managing large meteorological, SCADA, or geospatial datasets
Robust quantitative, statistical, analytical, and problem-solving skills
Ability to communicate technical concepts to varied audiences
Bring renewable energy consulting, data processing, automation, and quantitative analysis expertise to DNV’s Wind Energy Assessment team.

#J-18808-Ljbffr

📌 Senior Renewable Energy Data Consultant (Alberta)
🏢 DNV
📍 Alberta