Power Analytics Manager

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 The Power Analytics Manager will play a pivotal role in analyzing power market trends, assessing risk, and providing insights to support strategic decision-making. Reporting to the Senior Director of Power Marketing, responsibilities include data analysis, market research, and collaborating with cross-functional teams to optimize trading strategies. Strong analytical skills, market knowledge, and the ability to communicate findings effectively are essential for success in this role. This position is expected to travel up to 10% of the time. RESPONSIBILITIES

• Use in-house and commercial power system software tools to simulate network congestion
• Analyze congestion trends and prepare client recommendations
• Track network topology changes and update power system models
• Execute client strategy and perform post analysis
• Build and maintain a suite of in-house software tools and data pipelines for energy market analysis using R, Python, SQL, 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
• Forecast nodal/zonal energy prices for energy markets (RTO and bilateral) across both short-term and long-term time horizons using fundamental models as well as data science models
• Assist clients in evaluating request for proposals (RFPs) for existing and proposed renewables, storage, and transmission projects
• Monitor RTO market working groups for rule changes related to congestion rights and day-ahead energy markets
• Communicate clearly and succinctly with audiences of different backgrounds during meetings and presentations
  
  
  

REQUIRED QUALIFICATIONS

• Bachelor of Science in Electrical Engineering (Power Systems), Quantitative Finance, Computer Science, Data Science, Operations Research, Economics, Math, or other quantitative fields of study
• Minimum 6 years of relevant work experience in the electric utility industry (e.g. ISO/RTO, utility, energy trading firm, software vendor, consulting, etc.).
• Proficiency (must be able to understand and write code) in one or more programming languages. Advanced proficiency in R and/or Python is preferred
• Experience with production cost modeling software such as Plexos, Aurora, GenTrader, PROMOD
• Proficiency with modeling the transmission network in a commercial production cost modeling / SCED / power flow software tool
• Coursework in at least one of the following areas: power system analysis, power system economics, power system operations and planning, optimization, data analysis, and object-oriented programming. If no relevant coursework, relevant work experience is also considered
• Knowledge about organized electricity markets, day-ahead market, and real-time market. Working knowledge of at least one ISO/RTO market is preferred
  
  
  

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.