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 data and analytics solutions supporting wind turbine reliability, fleet performance, engineering investigations, and operational decision-making across the wind business. It delivers reusable analytics solutions to support growth in the Wind Services portfolio and uses data from sources such as SCADA, condition-based monitoring systems, turbine and sensor data, operational systems, and enterprise data to build robust pipelines, analytics products, and monitoring capabilities. The Staff Analytics Engineer works with Analytics Engineers, Data Scientists, engineering, digital technology, product, operations, field services, and customers to turn complex turbine and fleet data into trusted, actionable solutions. The role combines data engineering and analytics development with platform design, DevOps, production support, and agile delivery. It requires understanding wind turbine equipment, reliability, failure causes, operational characteristics, and how failure models affect measured parameters and KPIs. An analytic package is a configurable template for a class or type of equipment, encompassing data and tag models, component groupings, failure indication logic, parameter configuration, analytics methods, and orchestration logic. The role designs and builds analytic packages and their variants, incorporates field feedback, maintains the analytics library and catalogue, documents analytics for Field Services, gathers end-user requirements, and supports development of future GE Vernova Wind solutions. It also serves as a trusted communications point for field applications of analytics, shares technical materials and expertise, presents portfolio capabilities, and promotes repeatable solution architectures and innovation.
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.
- Understanding of basic wind turbine equipment, reliability, and failure causes; ability to learn operational characteristics of new equipment or components and collaborate with domain experts on failure modes.
- Strong oral and written communication skills.
- Strong analytical and problem-solving skills.
- Ability to work independently, influence stakeholders, balance competing priorities, and work effectively as a team member.
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.
- Understanding of SDLC methodology and experience applying it during design and development.
- 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.
- Emotional intelligence and ability to influence upward and across teams.
- Highly organized and efficient approach to work.
Responsibilities
- Analyze equipment operation, failure modes, process environments, and real-time sensor data to detect failures.
- Design and build new analytic packages using a structured process and review 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, gather end-user requirements, and support product engineering in developing new generations of GE Vernova Wind solutions.
- Build trusted relationships with internal and external customer constituents and serve as a communications hub and source of truth for field applications of analytics.
- Ensure teams receive 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 design and manage Analytic Blueprint Packages.
- Collaborate with cross-functional teams to resolve issues and design solutions, incorporating input from multiple sources.
- Generate process improvements and champion change initiatives.
Benefits
- Medical, dental, vision, and prescription drug coverage
- Health Coach access and a 24/7 nurse-based resource
- Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
- GE Vernova Retirement Savings Plan with a 401(k) savings opportunity, company matching contributions, and company retirement contributions
- Access to 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
- Relocation assistance
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
