Senior Wind Analytics & Performance Lead

DNV GL, USA; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

DNV Energy Systems' Renewables and Power Advisory group is seeking a Senior Renewable Energy Analytics & Performance Lead to join our Wind Energy Assessment team. You will develop analytical solutions, automate workflows, and support project decisions across the U.S. and Canada.

This role blends wind energy assessment with data analytics, process automation, and leadership, working with engineers to deliver defensible production estimates, insights, and innovative data-driven approaches.

Responsibilities

• 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.

Job description

DNV Energy Systems' Renewables and Power Advisory group is seeking a Senior Renewable Energy Analytics & Performance Lead to join our Wind Energy Assessment team. You will develop analytical solutions, automate workflows, and support project decisions across the U.S. and Canada.

This role blends wind energy assessment with data analytics, process automation, and leadership, working with engineers to deliver defensible production estimates, insights, and innovative data-driven approaches.