Lead Analyst, Energy Forecasting & Advanced Analytics

Job Description Summary GE Vernova is modernizing its forecasting capabilities to improve the accuracy, efficiency, and strategic value of its power system outlooks. The Lead Analyst, Energy Forecasting & Advanced Analytics will help build GE Vernova’s next-generation forecasting platform by contributing to model development, data engineering, automation, advanced analytics, and operational execution. This hands-on technical role will help translate strategy into scalable, production-ready forecasting capabilities while supporting the adoption of modern analytics and AI-enabled workflows across the forecasting function. Job Description Model Development and Execution • 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. Data Engineering and Pipeline Development • 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. Advanced Analytics and Programming • Develop analytical tools in Python, R, Julia, or similar languages to modernize spreadsheet-based workflows. • Implement automation for recurring forecasting processes. • Contribute to reusable code, libraries, and analytics modules that improve scalability and consistency. AI-Enabled Analytics • Apply AI tools to support data extraction and processing 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. Operational Support and Continuous Improvement • Execute forecasting runs and calibrate, validate, and interpret model outputs. • Identify and resolve model, data, and workflow issues. • Improve the performance, scalability, and usability of forecasting models over time. Collaboration and Insight Development • Partner with domain experts to understand assumptions, market logic, and forecasting requirements. • Contribute to analysis of market trends and model outputs. • Help prepare clear insights and decision-support materials for internal stakeholders. Required Qualifications • 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. Desired Characteristics • 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. Resumo da Descrição do Cargo A GE Vernova está modernizando suas capacidades de previsão para melhorar a precisão, a eficiência e o valor estratégico de suas perspectivas sobre sistemas de energia. A pessoa Analista Líder, Previsão de Energia e Análises Avançadas ajudará a construir a plataforma de previsão de próxima geração da GE Vernova, contribuindo para desenvolvimento de modelos, engenharia de dados, automação, análises avançadas e execução operacional. Esta função técnica e prática ajudará a transformar a estratégia em capacidades de previsão escaláveis e prontas para produção, ao mesmo tempo em que apoiará a adoção de análises modernas e fluxos de trabalho habilitados por IA na área de previsão. Funções e Responsabilidades Desenvolvimento e Execução de Modelos • Criar e manter componentes de modelos de expansão de capacidade, modelos de custo de produção e despacho, além de estruturas de análise de cenários e sensibilidades. • Traduzir informações de negócios e domínio em lógica de modelo estruturada e testável. Engenharia de Dados e Desenvolvimento de Pipelines • Desenvolver e manter pipelines de dados para conjuntos de dados internos e externos. • Limpar, transformar e validar grandes conjuntos de dados para uso em modelagem. • Apoiar práticas de governança de dados e entradas padronizadas para modelagem. Análises Avançadas e Programação • Desenvolver ferramentas analíticas em Python, R, Julia ou linguagens similares para modernizar fluxos de trabalho baseados em planilhas. • Implementar automação para processos recorrentes de previsão. • Contribuir para código reutilizável, bibliotecas e módulos analíticos que melhorem a escalabilidade e a consistência. Análises Habilitadas por IA • Aplicar ferramentas de IA para apoiar a extração e o processamento de dados de fontes estruturadas e não estruturadas. • Usar abordagens habilitadas por IA para resumir relatórios de mercad