Staff Analytics Engineer

Job Description Summary
GE Vernova is seeking an experienced Staff Analytics Engineer to join our Wind Engineering FPM Fleet Data & Analytics team.
In this role, you will develop scalable data and analytics solutions that support wind turbine reliability, fleet performance, engineering investigations, and operational decision-making across our wind business.
You will be responsible for delivering new, re-usable analytics solutions to drive growth in GE Vernova Wind Services portfolio.
You will work across a broad set of data sources, including SCADA, Condition based Monitoring Systems, Turbine and Sensor data, Operational Systems, and Enterprise Data, to build robust pipelines, analytics products, and monitoring capabilities.
The ideal candidate combines strong technical depth in data engineering and analytics development with experience in platform design, DevOps practices, production support, and agile delivery.
This role requires close collaboration with engineering, digital technology, product, and operations teams to turn complex wind turbine and fleet data into trusted, scalable, and actionable solutions that improve product performance and customer outcomes.
Job Description
Essential Responsibilities
As a Staff Analytics Engineer, for GE Vernova Wind's FPM Data & Analytics team, you must have a good understanding of basic Wind Turbine equipment – reliability and failure causes, ability to quickly understand the key operational characteristics of new equipment/ Component, collaborate with domain experts for failure mode knowledge, and assess how possible failure models will affect measured parameters and key performance indicators (KPIs).
Work on a team of Analytics Engineers and Data Scientists who analyze equipment operation and failure modes to detect the failures through the analysis of process environment, equipment operation and real-time sensor data
Apply a structured process to design and build new analytic packages.
Review relevant technical documents
Create derivative analytics for variants of known equipment, incorporation of field feedback to improve the performance and actionability of the analytics, maintaining the Analytic library and catalogue
Write Analytics Functional Documentation for the Field Services teams, gather end-user requirements and support product engineering in development of new generations of GE Vernova Wind Solutions.
Develop a trusted advocate relationship with internal and external customer constituents.
Serve as the communications hub and "source of truth" for applications of the analytics in the field.
Ensure that all teams have correct and timely information they need to ensure successful delivery of analytics
Provide supporting technical materials, education and in person expertise during gate discussions, partner and cross-business collaboration.
Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable
Drive repeatability in solution component architectures.
Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint Packages
Basic Qualifications
Bachelor's degree in computer science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum 4 years of experience with data analytics or data science.
Minimum 2 years with Python and SQL
Desired Characteristics
Technical Expertise:
Multiple years of Experience designing analytics utilizing non-parametric Machine Learning algorithms or heuristics
Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment
Aptitude for the use of complex software applications, abstract concepts, use of data
Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases
Business Acumen:
Strong Customer mindset and ability to understand commercial and product strategy
Bridging between Research and Solution design
Experience working effectively on multiple outcome-focused commercial solutions simultaneously
Leadership:
Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sources
Continuous improvement oriented – actively generates process improvements; champions and drives change initiatives
Strong analytical and strong problem-solving skills
Personal Attributes:
Emotional Intelligence, ability to influence up and out and the ability to work independently
Must be a team player with a strong desire to win
Highly organized and efficient; able to balance competing priorities and execute accordingly
Strong oral and written commu