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# Staff Analytics Engineer

- **Company:** GE Vernova
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $106,700.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Data Analysis, Software Applications, Machine Learning, Regression Analysis, Principal Component Analysis, Systems Development Life Cycle, Support Vector Machine, Private Cloud Environment, Information Technology, Data Analytics
- **Published:** November 6, 2026
- **Apply:** https://jobs.military.com/career/389339/staff-analytics-engineer-south-carolina-sc-greenville

## About the Role

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. \n, u2022 Multiple years of Experience designing analytics utilizing non-parametric Machine Learning algorithms or heuristics \n
\u2022 Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment \n
\u2022 Aptitude for the use of complex software applications, abstract concepts, use of data \n
\u2022 Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases \n
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\nBusiness Acumen: \n
\u2022 Strong Customer mindset and ability to understand commercial and product strategy \n
\u2022 Bridging between Research and Solution design \n
\u2022 Experience working effectively on multiple outcome-focused commercial solutions simultaneously \n
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\nLeadership: \n
\u2022 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 \n
\u2022 Continuous improvement oriented - actively generates process improvements; champions and drives change initiatives \n
\u2022 Strong analytical and strong problem-solving skills \n
\n, u2022 Emotional Intelligence, ability to influence up and out and the ability to work independently \n
\u2022 Must be a team player with a strong desire to win \n
\u2022 Highly organized and efficient; able to balance competing priorities and execute accordingly \n
\u2022 Strong oral and written communication skills. \n

## Description

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. \n
\u2022 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 \n
\u2022 Apply a structured process to design and build new analytic packages. Review relevant technical documents \n
\u2022 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 \n
\u2022 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. \n
\u2022 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 \n
\u2022 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 \n
\u2022 Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint Packages \n
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