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# Power Market Data & Modeling Analyst II - Model Ready Data Team in , United States

- **Company:** Energy Jobline
- **Location:** Boulder, CO, United States
- **Salary:** $105,000 - $115,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Airflow, Amazon Web Services, Data Analysis, Code Review, Data Infrastructure, Encompass, Python (Programming Language), Cloud Services, Software Engineering, SQL Databases, Workflow Management Systems, Data Processing, Snowflake, Model Validation, Information Technology, Data Management, Software Version Control
- **Published:** November 2, 2026
- **Apply:** https://www.energyjobline.com/job/power-market-data-modeling-analyst-ii-model-ready-data-team-united-states-32135808

## About the Role

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
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:

Practical experience contributing to large code bases
Data Platforms:

Experience with workflow orchestration (Dagster, Airflow, or similar) and cloud data platforms (Snowflake, AWS)
Renewables Modeling:

Experience with geospatial or weather data, or wind/solar generation modeling
Systems Thinking:

Ability to view the grid holistically, understanding dependencies between technology, data, and market processes.
ABOUT YES ENERGY

## Description

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., 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