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GE Vernova

Staff Analytics Engineer

GE Vernova

. Analyze equipment operation and failure modes using process environment, equipment operation, and real-time sensor data .

Posted 11/6/2026full-timeUnited StatesLead💰 $106,700 - $178,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analytics and machine learning, with a strong foundation in Python and SQL. Capable of designing and managing analytic packages while collaborating effectively across teams to enhance product engineering and customer solutions.

Highest-signal resume keywords
Data AnalyticsPython ProgrammingSQL ProficiencyMachine Learning AlgorithmsSDLC Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsMachine LearningPython ProgrammingSQL ProficiencyAnalytic Package DesignCloud Environment DeploymentTechnical DocumentationAnalytic Blueprint ManagementSensor Data AnalysisField Feedback Incorporation
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsTeam CollaborationCustomer Mindset
Industry Keywords
STEM DegreePublic CloudPrivate CloudCommercial SolutionsField Analytics Applications

Tech Stack

Tools & technologies
CloudPythonSDLCSQL

About the role

Key responsibilities & impact
  • Analyze equipment operation and failure modes using process environment, equipment operation, and real-time sensor data
  • Design and build new analytic packages using a structured process
  • Review relevant technical documents
  • Create derivative analytics for variants of known equipment
  • 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
  • Support product engineering in developing new generations of GE Vernova Wind Solutions
  • Serve as a communications hub and source of truth for field analytics applications
  • Provide technical materials, education, and in-person expertise during gate discussions and collaborations
  • Present portfolio capabilities to internal and external customers and user groups
  • Drive repeatability in solution component architectures
  • Design and manage Analytic Blueprint Packages
  • Collaborate with engineering, digital technology, product, operations, Analytics Engineers, and Data Scientists

Requirements

What you’ll need
  • Bachelor’s degree in computer science or a STEM major
  • Minimum 4 years of experience with data analytics or data science
  • Minimum 2 years with Python and SQL
  • Multiple years of experience designing analytics using non-parametric machine learning algorithms or heuristics
  • Experience designing, deploying, or operating applications/infrastructure in a public or private cloud environment
  • Aptitude for complex software applications, abstract concepts, and data use
  • Understanding of SDLC methodology and experience applying it in design and development phases
  • Strong customer mindset and ability to understand commercial and product strategy
  • Experience working effectively on multiple outcome-focused commercial solutions simultaneously
  • Strong analytical and problem-solving skills
  • Ability to work independently and as part of a team
  • Strong oral and written communication skills
  • Must be legally authorized to work in the United States
  • Successful completion of a drug screen, as applicable

Benefits

Comp & perks
  • Competitive compensation
  • Medical, dental, vision, and prescription drug coverage
  • Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
  • GE Vernova Retirement Savings Plan
  • Tax-advantaged 401(k) savings opportunity with company matching contributions and 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
  • Relocation assistance