ERCOT Power Market Analyst: Data-Driven Forecasts

InCommodities; Stamford, Northern (CT, KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

InCommodities North America is seeking a Power Analyst in Stamford, CT to convert complex ERCOT data into actionable insights. You will build and validate models, forecast demand and prices, and analyze market dynamics to support forecasting and planning.

You will work with a cross-functional team and apply advanced statistics, time-series analysis, and optimization to understand market drivers and risk. Expect a data-driven, collaborative, high-growth environment.

Qualifications

• Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, Computational Mathematics, Operations Research, Data Science, or closely related quantitative discipline; a Master of Financial Engineering is preferred
• Strong knowledge of advanced mathematics, probability and statistics, statistical inference, regression analysis, time-series analysis, and forecasting
• Experience with mathematical modeling, numerical methods, optimization, operations research, or computational mathematics
• Strong quantitative and analytical skills and ability to work with large datasets
• Proficiency in Python, SQL, C++, advanced Excel, statistical modeling software, optimization libraries, or data visualization tools
• Understanding of electricity-market analysis, power-system modeling concepts, and wholesale energy markets
• Knowledge of ERCOT market structure and operating data

Responsibilities

• Develop and apply mathematical and statistical models to analyze ERCOT market data, including generation, demand, prices, congestion, outages, and ancillary services
• Analyze historical and real-time market data to uncover trends, relationships, anomalies, and changes in market behavior
• Build forecasting models for demand, generation availability, market prices, congestion, and other relevant market variables
• Apply statistics, regression, time-series analysis, probability theory, numerical methods, and optimization to evaluate power-market conditions
• Develop quantitative models and algorithms to assess generation dispatch, transmission constraints, resource availability, and congestion
• Run scenario, sensitivity, and what‑if analyses to understand the impact of changes in load, generation, transmission availability, outages, and other market conditions
• Analyze market outcomes to identify the drivers behind price volatility, congestion, scarcity conditions, and other ERCOT market events
• Process and analyze large datasets using tools such as Python, SQL, C++, and Excel
• Automate analytical processes, data pipelines, models, and visualizations to make our analysis faster, stronger, and more reproducible
• Validate models against historical ERCOT market and system data, investigate discrepancies, and quantify uncertainty in your results
• Turn complex quantitative findings into clear reports, dashboards, presentations, and actionable insights for technical and business stakeholders
• Collaborate with analysts, engineers, economists, data scientists, and other colleagues to develop and challenge analytical methodologies

Skills

Mathematics

Statistics

Data Science

Operations Research

Python

SQL

C++

Excel

Quantitative analysis

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Python

SQL

Excel

Statistical software

Optimization libraries

Data visualization tools

C++

Job description

InCommodities North America is seeking a Power Analyst in Stamford, CT to convert complex ERCOT data into actionable insights. You will build and validate models, forecast demand and prices, and analyze market dynamics to support forecasting and planning.

You will work with a cross-functional team and apply advanced statistics, time-series analysis, and optimization to understand market drivers and risk. Expect a data-driven, collaborative, high-growth environment.