Senior Wind Analytics & Performance Lead (Hybrid)

DNV; San Diego (CA); Hybride; USD 120 000 - 195 000; Plein temps

Avantages offerts par ce poste

Generous paid time off

Medical and Dental benefits

401(k) with company match

Hybrid work schedule

Résumé du poste

DNV Energy Systems is seeking a Senior Renewable Energy Analytics & Performance Lead to join the Wind Energy Assessment team in the United States. The role blends wind resource analysis, data analytics, automation, and technical leadership to deliver decision-support for utility-scale projects across the U.S.

and Canada. You will develop analytical workflows, manage large datasets, mentor analysts, and contribute to pre-construction and operational assessments while advancing digitalization and

Qualifications

• Bachelor's degree in Meteorology, Atmospheric Science, Engineering, Physics, Mathematics, Computer Science, Data Science, Renewable Energy, Environmental Science, or a related technical field.
• Master's degree preferred in related field.

Responsabilités

• Analyze turbine and wind plant SCADA data to track power curves, evaluate energy yield, identify lost production, diagnose faults.
• Lead wind resource and energy assessments for utility-scale wind projects.
• Perform advanced analysis of meteorological, reanalysis, operational, SCADA, remote sensing, and geospatial datasets.
• Develop analytical workflows and data-processing solutions.
• Mentor analysts and contribute to technical leadership.

Connaissances

Python

MATLAB

R

Data processing

Automation

Analytics

Copilot

Formation

Bachelor's degree in a technical field

Master's degree in related field

Outils

Cloud platforms

Description du poste

DNV Energy Systems is seeking a Senior Renewable Energy Analytics & Performance Lead to join the Wind Energy Assessment team in the United States. The role blends wind resource analysis, data analytics, automation, and technical leadership to deliver decision-support for utility-scale projects across the U.S.

and Canada. You will develop analytical workflows, manage large datasets, mentor analysts, and contribute to pre-construction and operational assessments while advancing digitalization and