Energy Analytics Analyst

The role

The Energy Analytics Analyst will develop analytical solutions for wholesale power, retail energy, risk management, and supply optimization. This role supports commercial, trading, and operational decision-making through data-driven analysis and forecasting.

What you will do

• Develop and enhance analytical solutions supporting wholesale power, retail energy, risk management, and supply optimization.
• Build, maintain, and improve load, price growth margin forecasting and market intelligence models for ERCOT and PJM markets.
• Support trading, risk, supply management and marketing teams through scenario analysis, position evaluation, exposure reporting, pricing support and market research.
• Design and develop scalable data pipelines, datasets, and analytics tools using SQL and Python.
• Leverage Generative AI, large language models (LLMs), and machine learning techniques to improve business efficiency.
• Create dashboards, reports, and visualizations.
• Partner with technology, commercial, risk, and operations teams to translate business requirements into analytical solutions.
• Lead analytics projects from requirements gathering through development, testing, deployment, and ongoing support.
• Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
• Perform ad hoc analysis and assist with critical business needs as required.

Required qualifications

• Bachelor’s Degree Required in Finance, Economics or any other quantitative hard science.
• 1-3 years of energy industry experience applying modelling techniques in successful business applications.
• Strong interpersonal skills with capability to work collaboratively with technical and non-technical teams.
• Strong understanding of ERCOT market structure and fundamentals.
• Strong interpersonal and presentation skills coupled with deep analytical capabilities.
• Hands-on experience supporting retail power and/or wholesale power businesses through load forecasting, price forecasting, market analytics, risk management, and supply portfolio optimization initiati
• Strong verbal and writing skills
• Ability to multitask and work under multiple deadlines
• Demonstrated ability to independently manage projects from inception through successful implementation.
• Self-motivated and ability to work in a collaborative environment.
• Deadline-oriented with an ability to prioritize tasks.
• Strong decision-making skills in a fast-paced, dynamic environment.

Nice to have

• Familiarity with PJM markets
• Strong technical knowledge on time series modelling (GBM, LSTM) and deep learning/generative AI (CNN, VAE, GAN)
• Thorough understanding of the analytical drivers of the energy industry including weather, consumption patterns, wholesale and retail prices, particularly for ERCOT and PJM markets
• Experience with ETRM systems, Dayzer, Yes Energy, Hitachi/Endur, Amperon, or similar energy market platforms.
• Working knowledge of Generative AI, large language models (LLMs), AI-assisted development tools, and practical business applications of AI.
• Experience developing AI-enabled analytics solutions, agents, copilots, or workflow automation tools.
• Knowledge of renewable generation, battery storage, natural gas markets, and power asset optimization.
• An advanced degree, preferably Ph.D, in Engineering, Math, Physics or in a related field of study

Before you apply

• Eligible to work in the USA for any employer without sponsorship.

About the company

Hanwha Energy USA is a comprehensive energy solutions provider headquartered in Houston, Texas. It is part of the Hanwha Group and manages a portfolio spanning utility-scale renewables, natural gas generation, and retail electricity.