Lead Analyst, Energy Forecasting & Advanced Analytics

GE Vernova

Remote

Full Time

Posted September 25, 2026

$112k - $112k

Power Generation

Remote

Apply Now

Application opens on company website

Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed September 29, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

GE Vernova is modernizing its forecasting capabilities to improve the accuracy, efficiency, and strategic value of its power system outlooks.

Requirements

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.
Ability to partner effectively with domain experts and translate between technical, economic, and business perspectives.
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.
Baccalauréat en génie, science des données, économie ou domaine connexe délivré par une université ou un établissement accrédité.
3 à 5 ans d’expérience en analyses énergétiques, prévision, marchés de l’énergie, analyses avancées, science des données ou domaine technique connexe, avec un fort intérêt pour l’énergie.
Solide maîtrise des outils analytiques modernes et des langages de programmation tels que Python, R, Julia ou similaires.
Expérience du travail avec de grands ensembles de données et des flux de travail analytiques.
Expérience démontrée dans l’application de l’IA, des analyses avancées, de la science des données ou de méthodes quantitatives à l’analyse de marché, à la prévision ou à l’aide à la décision.