Join the Market Leader in Electric Power Data and Analytics Solutions
The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose.
Be a part of our successful, growing business during international transformation.
Position Summary
The Model Ready Data Team builds the modeling data service behind EnCompass, Yes Energy’s power system simulation engine. We produce and maintain the model-ready datasets for North American power systems (generators, load, fuels, transmission, emissions, reserves, and more) that form the baseline for customers’ modeling ecosystems, along with the assumptions documentation that explains every input. We bridge Yes Energy’s Data Platform and Modeling disciplines by translating power system data and historical reports into modeling inputs and supporting the development of proprietary nodal LMP forecasts.
As a Power Market Data & Modeling Analyst you will build, validate, and automate those datasets while developing expertise in one or more power markets.
Position Details
Salary Range: $105,000-$115,000
Location: Hybrid – Boulder, CO; Seattle, WA; or Boston (Newton), MA
Full-time
Reporting to: Director, Model Ready Data
Travel requirements: Occasional travel as needed for client or team collaboration
Primary Responsibilities
Data Model Development: Build, test, and analyze data models for North American power systems, delivered as model-ready datasets for EnCompass
Model Updates: Run regular model-update cycles: refresh generation fleets, load forecasts, fuel prices, interchanges, emissions, reserves, and transmission constraints from internal, public, and commercial sources
Technical Optimization: Develop and maintain Python-based automation that ensures data quality from source to product
Validation & Benchmarking: Validate models by running simulations, benchmarking results against historical market outcomes, and diagnosing discrepancies
Automation : Automate recurring analytics & modeling workflows to increase operational efficiency across departments
Documentation: Maintain customer-facing assumptions documentation for each market/region we model
Market & Client Expertise: Become an expert in one or more power markets; support clients with case diagnosis and expert advice on power market modeling
Continuous Improvement: Identify and research new data sources, tools, and modeling structures to improve model quality and sophistication
Minimum Qualifications
Bachelor’s degree in engineering, computer science, data science, or a similar quantitative field
Understanding of North American power market fundamentals and energy economics
Strong technical execution and proven experience using Python (or similar) for data manipulation and automation
Comfort working with large, messy tabular data (CSV, Excel, SQL) and checking it against its source
A knack for good software and the habits that produce it: version control, code review, testing, and readable code
Excellent analytical skills in response to open-ended questions
Ability to work efficiently on multiple, non-overlapping tasks with minimal supervision
Confidence in presenting technical content to both colleagues and clients
Passion for the energy transition
Preferred Qualifications
Advanced Degree: M.S. or Ph.D. in engineering or computer science with a focus on power systems
Simulation Experience: Experience with power system models such as Enelytix, EnCompass, PLEXOS, AURORA, or PROMOD; optimization, production cost modeling, or capacity expansion modeling experience
Software Engineering:…