Staff Analytics Engineer
About The Position
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, operational decision-making, and growth of the Wind Services portfolio. Work spans SCADA, condition-based monitoring systems, turbine and sensor data, operational systems, and enterprise data to create robust pipelines, analytics products, and monitoring capabilities. The position combines data engineering and analytics development with platform design, DevOps practices, production support, and agile delivery. It requires understanding wind turbine equipment, reliability, and failure causes; learning operational characteristics of new equipment and components; collaborating with domain experts; and assessing how failure models affect measured parameters and KPIs. The role also designs and manages analytic packages, which may include semantic data models, equipment tag models, component groupings, failure indication logic, parameter configurations, and orchestration of physics-based, mathematical, statistical, or machine-learning techniques. The engineer collaborates with engineering, digital technology, product, operations, analytics engineering, and data science teams, as well as internal and external customers. The goal is to turn complex turbine and fleet data into trusted, scalable, actionable solutions that improve product performance and customer outcomes. GE Vernova offers professional development, challenging careers, and competitive compensation. Relocation assistance is provided.
Requirements
- Bachelor’s degree in computer science or a STEM major.
- At least 4 years of experience with data analytics or data science.
- At least 2 years of experience with Python and SQL.
- Good understanding of basic wind turbine equipment, reliability, and failure causes.
- Ability to quickly understand operational characteristics of new equipment or components, collaborate with domain experts on failure modes, and assess effects of failure models on measured parameters and KPIs.
- Strong technical depth in data engineering and analytics development, with experience in platform design, DevOps practices, production support, and agile delivery.
- Strong oral and written communication skills.
- Strong analytical and problem-solving skills.
- Ability to work independently, influence others, stay organized, balance competing priorities, and collaborate as a team player.
Nice To Haves
- Multiple years of experience designing analytics using non-parametric machine-learning algorithms or heuristics.
- Experience designing, deploying, or operating applications or infrastructure in a public or private cloud environment.
- Aptitude for complex software applications, abstract concepts, and use of data.
- Clear understanding of Systems Development Life Cycle methodology and experience applying it in design and development phases.
- Strong customer mindset and ability to understand commercial and product strategy.
- Ability to bridge research and solution design.
- Experience working effectively on multiple outcome-focused commercial solutions simultaneously.
- Proactive cross-functional collaboration to resolve issues and design solutions using critical thinking, analytics skills, and best practices.
- Continuous-improvement orientation, including generating process improvements and championing change initiatives.
- Emotional intelligence and ability to influence up and out.
- Desire to win and contribute as a team player.
Responsibilities
- Work with Analytics Engineers and Data Scientists to analyze equipment operation and failure modes using process environment, equipment operation, and real-time sensor data.
- Apply a structured process to design and build new analytic packages, including reviewing relevant technical documents.
- Create derivative analytics for variants of known equipment and incorporate field feedback to improve analytics performance and actionability.
- Maintain the analytic library and catalogue.
- Write analytics functional documentation for Field Services teams, gather end-user requirements, and support product engineering in developing new generations of GE Vernova Wind Solutions.
- Build trusted advocate relationships with internal and external customer constituents and serve as a communications hub and source of truth for field applications of analytics.
- Ensure teams have correct and timely information needed for successful analytics delivery.
- Provide technical materials, education, and in-person expertise during gate discussions and partner and cross-business collaboration.
- Present portfolio capabilities to internal and external customers and user groups where applicable.
- Drive repeatability in solution component architectures and foster innovation, creative risk taking, speed, and agility in designing and managing Analytic Blueprint Packages.
- Collaborate with engineering, digital technology, product, and operations teams to deliver scalable solutions that improve product performance and customer outcomes.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Prescription drug coverage
- Health Coach access
- 24/7 nurse-based resource
- Employee Assistance Program with confidential assessment, counseling, and referral services
- GE Vernova Retirement Savings Plan
- 401(k) savings opportunity with company matching contributions
- Company retirement contributions
- Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Discretionary annual bonus eligibility
- Relocation assistance
- Professional development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
