Senior Analyst - Energy Analytics

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. Our portfolio now spans utility‑scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our 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, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility‑scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets

POSITION OVERVIEW

We are seeking an experienced Senior Energy Analytics Analyst who is highly analytical, detail‑oriented, and driven to deliver business results. The ideal candidate will have at least 5 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. As part of Hanwha Energy USA’s Energy Analytics team, this role will support critical commercial, trading, risk management, and operational decision‑making through data‑driven analysis and forecasting. The successful candidate will develop and maintain analytical models, extract actionable insights from large datasets, and partner closely with stakeholders across trading, origination, risk, supply management, and retail businesses. The ideal candidate combines strong technical capabilities in SQL, Python, data visualization, and modern AI/LLM technologies with a practical understanding of energy markets. This individual should be comfortable taking ownership of projects from concept through implementation, driving results with minimal supervision, and rolling up their sleeves to solve business problems regardless of scope or complexity. Reporting to the Sr. Director of Energy Analytics, this role requires a self‑motivated professional who thrives in a fast‑paced environment, communicates effectively with both technical and business audiences, and consistently demonstrates accountability, initiative, and attention to detail. This role will be located in Houston, Texas, and the ideal candidate will be within commutable distance to the Houston office location. This is an onsite required role.

RESPONSIBILITIES

As part of Hanwha Energy USA’s Analytics team, this position will play a pivotal role in developing innovative solutions for our wholesale analytical needs. 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

Analytical – Proven problem‑solving capability with strong analytical skills including statistical analysis. Stakeholder Engagement – Understands the importance of seeking out relationships and working with others toward a shared goal. Effective Communication – Strong verbal and written communication skills. Agility – Demonstrate willingness to modify position as needed to meet the needs of the business.

REQUIRED QUALIFICATIONS

Bachelor’s Degree Required in Finance, Economics, or any other quantitative hard science. 5+ years of 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; familiarity with PJM markets preferred. Excellent 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 initiatives. 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 where teamwork and independent work ethic is essential. Deadline‑oriented with an ability to prioritize tasks. Strong decision‑making skills in a fast‑paced, dynamic environment. Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI). Self‑starter with a strong work ethic, intellectual curiosity, and willingness to take ownership beyond defined responsibilities when necessary. Eligible to work in the USA for any employer without sponsorship.

PREFFERED QUALIFICATIONS

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 a related field of study. Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. Hanwha Energy USA #J-18808-Ljbffr Hanwha Energy USA