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. This role is primarily focused on enabling a future ROC and automating Engineering Troubleshooting Guides (ETGs), Faut Handling Procedures (FHPs) and other Automation to enable faster response time for ROC and positively impact the fleet availability and safety.
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). An Analytic Package is a complete configuration template for a class or type of equipment; includes the Sematic Data Model, Equipment Tag Model, Component Groupings, Failure Indication Logic and relation parameter configuration applied to Physics Based, Mathematical or Statistics based, or Machine Learning (Non-Parametric Regression Techniques such as Similarity Based Modeling, Principal Component Analysis, Kernel Regression, Support Vector Machines etc.; Decisions Trees and other such) analytics techniques commonly used for Industrial Analytics) as well as the orchestration logic of one or more of these techniques.

• 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 3 years of experience.

- Basic programming SQL and data base minimum of 2 years of experience

Desired Characteristics

Technical Expertise:
• Multiple years of Experience designing analytics utilizing non-parametric Machine Learning algorithms or heuristics
• Knowledge and experience using Analytics Software Packages, open-source scripting and data analysis packages like Python.

• Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment

• Demonstrated ability to work within a small, collaborative project team
• Attention to detail with a willingness to follow a rigorous quality process.
• Strong oral and written communication skills.
• Aptitude for the use of complex software applications, abstract concepts, use of data
• Strong organizational and project management skills
• Strong analytical and problem resolution skills

Business Acumen:
• Strong Customer mindset and ability to understand commercial and product strategy
• Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates in
• Ability to synthesize broad-based user requirements into a unified plan to meet key business objectives

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
• Strong analytical and strong problem solving skills - effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve

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 communication skills.

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $106,700.00 and $178,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on November 05, 2026.

 

 

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

 

 

Candidates should be aware that this role involves a client's critical infrastructure; shortlisted candidates would therefore be subject to heightened security checks as directed by our clients. All personal data will be handled with the utmost confidentiality and in accordance with our data protection policies, solely for recruitment and security purposes.