Market Operations Optimization Analyst

Title: Market Operations Optimization Analyst
Department: Market Operations
Reports to: Senior Manager, Market Analysis
Direct Reports: 0
Date Posted: June 6th, 2022
Location: Houston, TX (Hybrid/Flexible Remote Schedule)
Travel: 15%


The Market Operations Optimization Analyst will use quantitative reasoning, problem solving, operations research methods, and programming skills to assist the market operations team in optimizing battery energy storage system dispatch (charging and discharging) across the Key Capture Energy fleet. Responsibilities may include strategizing day-to-day power market operations, troubleshooting market operations in real-time, building/editing mathematical models that represent battery energy storage system and/or hybrid solar + storage system operation, and building reports summarizing performance of trading strategies. The ideal candidate is a creative problem solver who is able to develop the technical skills to independently run projects from the brainstorm phase through to a final work-product.


  1. Build a fundamental understanding of daily energy market operations in various jurisdictions
  2. Support the build-out of automated power market bidding/trading strategies using Python and SQL
  3. Support the management of company assets day-to-day, including via bid submission and code debugging
  4. Understand factors impacting electricity prices and collaborate with Director of Machine Learning and Artificial Intelligence to improve price forecasts and ingest into bidding models
  5. Analyze and manipulate datasets in MS SQL Server
  6. Build PowerBI dashboards that transform data into information that informs market decisions
  7. Build analytical reports and models to support energy trading
  8. Other duties as required


  1. 0-2 years of energy industry or analytical experience
  2. Bachelors degree in: engineering, math, economics, computer science, chemistry, physics, finance, business, or related field
  3. Interest in clean energy and power markets
  4. Exposure to programming (SQL, Python, R, Matlab, or similar)
  5. Exposure to mathematical optimization a plus
  6. Experience working with large data sets a plus
  7. Very motivated self-starter
  8. Strong organizational and time-management skills

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