Power Market Data & Modeling Analyst II – Model Ready Data Team

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: 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 Overview Yes Energy delivers real-time market data and electric power trading decision solutions.  Over 1,000 market participants use Yes Energy solutions daily.  The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers.  Yes Energy has a team of 400 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying “Yes” to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful … we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we’re proud of: We love innovation and solving tough challenges; We are “high standards people” who combine passion and pride with hard work and rewards of all kinds-- in an ethic that is consistent across the company. We’re team-focused with a flat hierarchy-- we work in small teams on well-defined projects that directly impact the success of the business; We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area.  This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways.  We are constantly growing. Professional development happens every day and every year. Compensation and Benefits We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. In accordance with Colorado law, the range provided is Yes Energy’s reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities. Yes Energy 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. In addition to federal law requirements, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.