GE Vernova is seeking an experienced Staff Analytics Engineer for its Wind Engineering FPM Fleet Data & Analytics team. The role develops scalable, reusable data and analytics solutions supporting wind turbine reliability, fleet performance, engineering investigations, and operational decision-making across the wind business. Its focus includes enabling a future ROC and automating Engineering Troubleshooting Guides (ETGs), Fault Handling Procedures (FHPs), and other automation to improve response times, fleet availability, and safety. The engineer works with data from SCADA, condition-based monitoring systems, turbine and sensor data, operational systems, and enterprise sources to build robust pipelines, analytics products, and monitoring capabilities. The role combines data engineering and analytics development with platform design, DevOps practices, production support, and agile delivery. It works closely with engineering, digital technology, product, and operations teams to deliver trusted, scalable solutions that improve product performance and customer outcomes. The position requires understanding wind turbine equipment, reliability, and failure causes, and assessing how potential failure models affect measured parameters and KPIs. An analytic package is a reusable configuration for a type or class of equipment. It can include a semantic data model, equipment tag model, component groupings, failure-indication logic, related parameter configuration, analytics techniques, and orchestration logic. Techniques may be physics-based, mathematical, statistical, or machine-learning based. The engineer collaborates with analytics engineers and data scientists to analyze equipment operation and failure modes, creates and maintains analytic packages and their documentation, incorporates field feedback, and supports field services, product engineering, customers, and partner teams. The role also promotes repeatable solution architectures and innovation in analytic blueprint packages.
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Job Type
Full-time
Career Level
Senior