Lead Analyst, Energy Forecasting – Advanced Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain components related to capacity expansion, production cost, dispatch models, as well as frameworks for scenario and sensitivity analysis.

• Convert business and domain inputs into structured, verifiable model logic.

• Create and manage data pipelines for both internal and external datasets.

• Clean, transform, and verify large datasets for modeling purposes.

• Promote data governance practices and standardized inputs for modeling.

• Design analytical tools using Python, R, Julia, or similar programming languages.

• Streamline repetitive forecasting processes through automation.

• Provide reusable code, libraries, and analytics modules.

• Utilize AI tools to extract and process both structured and unstructured data.

• Implement AI-driven methods to summarize market reports and datasets, improving modeling inputs.

• Facilitate experimentation with emerging AI techniques across forecasting processes.

• Conduct forecasting operations and calibrate, validate, and interpret model outputs.

• Detect and address issues related to models, data, and workflows.

• Enhance the performance, scalability, and usability of forecasting models.

• Collaborate with domain experts to grasp assumptions, market logic, and forecasting needs.

• Evaluate market trends and model outputs.

• Create clear insights and decision-support materials for internal stakeholders.

⛳️ Requirements

• Bachelor’s degree in engineering, data science, economics, or a related field from an accredited institution.

• 3–5 years of experience in energy analytics, forecasting, power markets, advanced analytics, data science, or a related technical domain, with a strong interest in energy.

• High proficiency in modern analytical tools and programming languages such as Python, R, Julia, or similar.

• Experience in managing large datasets and executing analytical workflows.

• Proven experience in applying AI, advanced analytics, data science, or quantitative methods in market analysis, forecasting, or decision support.

• Familiarity with energy system models, including capacity expansion, production cost, dispatch, power system optimization, or similar models.

• Proficiency with data tools like SQL, cloud platforms, APIs, Power BI, Python, or similar technologies.

• Understanding of power markets, generation technologies, and energy policy.

• Exposure to AI, machine learning, or generative AI tools within analytics workflows.

• Experience in transitioning analytical workflows from Excel to scalable modeling environments.

• History of building or modernizing analytics capabilities in an enterprise setting.

• Excellent oral and written communication skills, with the ability to simplify complex issues into clear, straightforward messages.

• An advanced degree such as an MBA, master’s, or PhD in a relevant field is preferred.

• Must possess legal authorization to work in the United States.

• Successful completion of a drug screening, if applicable.

🏝️ Benefits

• 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 providing 24/7 confidential assessment, counseling, and referral services.

• GE Vernova Retirement Savings Plan.

• Tax-advantaged 401(k) savings plan with company matching contributions and retirement contributions.

• Access to 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.