Data Analyst – Power Market Modeling

COMPANY OVERVIEW 

174 Power Global, headquartered in Irvine, California, is an affiliate company of Hanwha Group, a FORTUNE Global 500 firm that is among the eight largest business enterprises in South Korea. 174 Power Global designs, builds and manages renewable energy solutions. The company brings a decade of global leadership in renewable energy to North America, combining best-of-world technology, processes, and partnerships to deliver utility-grade energy solutions customized for local energy markets. 174 Power Global offers the full spectrum of energy solutions – from power plant development, design, construction, operations, and maintenance. With proven capabilities across the renewable energy value chain, 174 Power Global minimizes uncertainty and risk, and helps customers achieve a higher return on their investment in renewable energy.

POSITION OVERVIEW

This role will play a pivotal role in power market modeling, price forecasting, and providing insights to support strategic decision-making. Reporting to the Director, Power Market Analytics, responsibilities include data analysis, simulation and modeling, market research, and collaborating with cross-functional teams. Strong analytical, mathematical, and coding skills, along with market knowledge and the ability to communicate effectively, are essential for success in this role. This position is expected to travel up to 10% of the time. 

• Deliver fast, high-quality data analysis in Excel and Python to meet time-sensitive power market modeling and reporting needs.
• Perform power market modeling and long-term price, nodal basis, and curtailment forecasting.
• Use production cost modeling tools such as Hitachi PROMOD to simulate future power markets and provide price forecasting
• Build and maintain a suite of in-house software tools and data pipelines for energy market analysis using Excel, Python, and/or other programming languages.
• Model and evaluate the impact of market design changes and topological changes, such as new generation, new storage, and transmission line buildouts on future energy prices.
• Communicate clearly and succinctly with audiences of different backgrounds during meetings and presentations.

• Bachelor of Science in Electrical Engineering (Power Systems), Computer Science, Data Science, Operations Research, Economics, Math, or other quantitative fields of study.
• Must be highly proficient and fast in Excel and Python-based data analysis, including the ability to perform real-time calculations (e.g., lookups, formulas, scripts).
• Strong background in power markets with a solid understanding of pricing mechanisms, market structures, and key components is required.
• Relevant work experience in the power industry (e.g., ISO/RTO, utilities, energy trading firms, software vendors, or consulting) is preferred.
• Experience with production cost modeling software such as PROMOD, Aurora, and PLEXOS is a plus.
• Proficiency with modeling the transmission network in a commercial production cost modeling / SCED / power flow software tool is a plus.
• Coursework in at least one of the following areas: power system analysis, power system economics, power markets, or power system operations and planning. Relevant work experience may be considered as a substitute for coursework.

Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.

174 Power Global 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.

www.174powerglobal.com.