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Hanwha Energy USA

Develops and operates utility-scale solar power

Energy Analytics Analyst

Data ScienceConfirmed live in the last 24 hours
Full-timeHouston, TX, USA$115k - $140k

About the Job

Requirements

  • A bachelor's degree in Finance, Economics, or another quantitative hard science is required.
  • One to three years of energy industry experience applying modelling techniques in successful business applications.
  • Strong understanding of ERCOT market structure and fundamentals; familiarity with PJM markets is 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.
  • Strong knowledge of programming with Python and SQL, and visualization tools such as Plotly and Power BI.
  • Strong analytical and problem-solving capability, including statistical analysis.
  • Strong interpersonal and presentation skills, with the ability to work collaboratively with technical and non-technical teams.
  • Strong verbal and written communication skills.
  • Ability to multitask, prioritize tasks, and work under multiple deadlines.
  • Demonstrated ability to independently manage projects from inception through successful implementation.
  • Eligible to work in the USA for any employer without sponsorship.

Responsibilities

  • Develop and enhance analytical solutions supporting wholesale power, retail energy, risk management, and supply optimization activities.
  • Build, maintain, and improve load, price, gross 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.
  • Use generative AI, large language models, and machine learning techniques to improve business efficiency, automate workflows, and enhance forecasting capabilities.
  • Create dashboards, reports, and visualizations to support stakeholder decision-making.
  • 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 analytical findings and recommendations to technical and non-technical stakeholders.
  • Identify opportunities to improve processes, data quality, forecasting methodologies, and business workflows.
  • Perform ad hoc analysis and assist with critical business needs.
  • Develop innovative solutions for wholesale analytical needs as part of the Energy Analytics team.

Desired Qualifications

  • Strong technical knowledge of time-series modelling, including GBM and LSTM, and deep learning or generative AI techniques, including CNN, VAE, and GAN.
  • Thorough understanding of energy-industry analytical drivers, 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, 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 a Ph.D., in Engineering, Math, Physics, or a related field of study.

About the Company

Hanwha Energy USA

Develops and operates utility-scale solar power

Hanwha Energy USA develops, builds, and operates utility-scale solar and energy storage projects to deliver clean, reliable power. By pairing solar generation with integrated storage, it smooths energy delivery and supports grid stability. It works with landowners, communities, investors, and corporate customers to manage projects from development through operation. Its differentiated approach is in-house management of the full lifecycle and expansion into data-center solar, green hydrogen, and other renewables to help customers decarbonize.

Company size
51-200
Company stage
Debt Financing
Total funding
$610M
Headquarters
Irvine, CA
Founded
2017

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