Energy Analytics Analyst

Company Overview

Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high‑quality, utility‑scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. The portfolio now spans utility‑scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data‑center industry. Expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, the company delivers reliable, customized solutions that meet the dynamic needs of local energy markets.

Position Overview

Hanwha Energy USA is seeking an experienced Energy Analytics Analyst who is highly analytical, detail‑oriented, and driven to deliver business results. The ideal candidate will have 1‑3 years of experience in deregulated retail electricity and/or wholesale power markets, with a strong understanding of ERCOT and PJM market fundamentals, load forecasting, price formation, risk management, and supply portfolio optimization. The role supports critical commercial, trading, risk management, and operational decision‑making through data‑driven analysis and forecasting, developing and maintaining analytical models, extracting actionable insights from large datasets, and partnering closely with stakeholders across trading, origination, risk, supply management, and retail businesses. Reporting to the Sr. Director of Energy Analytics, the position is onsite in Houston, Texas.

Responsibilities

• Develop and enhance analytical solutions supporting wholesale power, retail energy, risk management, and supply optimization activities.
• 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, automate workflows, and enhance forecasting capabilities.
• Create dashboards, reports, and visualizations that enable stakeholders to make informed business decisions.
• 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.
• Continuously identify opportunities to improve existing processes, data quality, forecasting methodologies, and business workflows.
• Perform ad‑hoc analysis and assist with critical business needs as required.

Required Competencies

• Strong analytical and statistical problem‑solving skills.
• Effective stakeholder engagement and relationship‑building.
• Excellent verbal and written communication abilities.
• Agility and willingness to adapt to changing business needs.

Required Qualifications

• Bachelor’s degree in Finance, Economics, or another 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.
• Deep understanding of ERCOT market structure and fundamentals; familiarity with PJM markets preferred.
• Hands‑on experience supporting retail power and/or wholesale power businesses through load forecasting, price forecasting, market analytics, risk management, and supply portfolio optimization initiatives.
• Proficiency in programming (Python, SQL) and visualization tools (Plotly, PowerBI).
• Ability to multitask, meet multiple deadlines, and independently manage projects from inception through implementation.
• Self‑motivated, deadline‑oriented, and capable of making decisions in a fast‑paced, dynamic environment.
• Eligibility to work in the USA without sponsorship.

Preferred Qualifications

• Strong technical knowledge of time‑series modelling (GBM, LSTM) and deep learning/generative AI (CNN, VAE, GAN).
• Thorough understanding of analytical drivers of the energy industry, including weather, consumption patterns, wholesale and retail prices, particularly for ERCOT and PJM markets.
• Experience with ETRM systems such as Dayzer, Yes Energy, Hitachi/Endur, Amperon, or similar platforms.
• Working knowledge of Generative AI, large language models, 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.
• Advanced degree (e.g., Ph.D.) in Engineering, Math, Physics, or a related field.

Compensation

Salary range: $115,000 – $140,000.