Lead Analyst, Energy Forecasting, Advanced Analytics

GE Vernova

Lead analyst building GE Vernova’s next-generation energy forecasting platform. Developing models, data pipelines, automation, and AI-enabled analytics for power-system outlooks.

Posted 9/10/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $111,800 - $186,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining analytical models for capacity expansion and forecasting, utilizing programming languages such as Python, R, and Julia. Proficient in data governance, large dataset management, and applying AI tools to enhance analytical workflows and decision support.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentAI Application in AnalyticsEnergy Analytics ExperienceLarge Dataset Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Capacity Expansion ModelsProduction Cost ModelsForecasting TechniquesData Cleaning and TransformationAnalytical WorkflowsSQL ProficiencyPower BIMachine LearningStatistical AnalysisQuantitative Methods

Soft Skills

Attention to DetailStrong Communication SkillsCuriosity and Continuous LearningOrganizational SkillsProject Prioritization

Tools & Technologies

Cloud PlatformsAPIsAI ToolsData Governance ToolsAnalytics Modules

Certifications & Qualifications

Bachelor’s Degree in EngineeringBachelor’s Degree in Data ScienceBachelor’s Degree in EconomicsAdvanced Degree (MBA, Master’s, or PhD) Desired

Industry Keywords

Energy AnalyticsPower MarketsEnergy PolicyGeneration TechnologiesForecasting Workflows

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Build and maintain components of capacity expansion models, production cost and dispatch models, and scenario and sensitivity analysis frameworks
Translate business and domain inputs into structured, testable model logic
Develop and maintain data pipelines for internal and external datasets
Clean, transform, and validate large datasets for modeling use
Support data governance practices and standardized modeling inputs
Develop analytical tools in Python, R, Julia, or similar languages to modernize spreadsheet-based workflows
Implement automation for recurring forecasting processes
Contribute reusable code, libraries, and analytics modules that improve scalability and consistency
Apply AI tools to extract and process data from structured and unstructured sources
Use AI-enabled approaches to summarize market reports and datasets and enhance modeling inputs
Support experimentation with emerging AI methods across forecasting workflows
Execute forecasting runs and calibrate, validate, and interpret model outputs
Identify and resolve model, data, and workflow issues
Improve forecasting model performance, scalability, and usability
Partner with domain experts to understand assumptions, market logic, and forecasting requirements
Analyze market trends and model outputs
Prepare clear insights and decision-support materials for internal stakeholders

Requirements

What you’ll need

Bachelor’s degree in engineering, data science, economics, or a related field from an accredited university or college
3–5 years of experience in energy analytics, forecasting, power markets, advanced analytics, data science, or a related technical field with strong interest in energy
Strong proficiency with modern analytical tools and programming languages such as Python, R, Julia, or similar
Experience working with large datasets and analytical workflows
Demonstrated experience applying AI, advanced analytics, data science, or quantitative methods in market analysis, forecasting, or decision support
Experience with energy system models, including capacity expansion, production cost, dispatch, power system optimization, or related models
Experience with data tools such as SQL, cloud platforms, APIs, Power BI, Python, or similar tools
Familiarity with power markets, generation technologies, and energy policy
Exposure to AI, machine learning, or generative AI tools in analytics workflows
Experience transitioning analytical workflows from Excel into scalable modeling environments
Experience building or modernizing analytics capabilities in an enterprise environment
Strong curiosity, continuous learning mindset, attention to detail, and ability to organize and prioritize multiple projects with urgency
Strong oral and written communication skills, including the ability to distill complex issues into clear, simple messages
Advanced degree such as an MBA, master’s degree, or PhD in a relevant field is desired
Must be legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Competitive compensation
Discretionary annual bonus
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
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
Professional development
Relocation assistance