Energy Market Analyst Intern
4 days ago
Englewood
Job DescriptionDescription: ** We are using Predictive Index in our hiring practices, please use this link to take the two PI assessments: Click to take assessments East Daley Analytics is a fast-paced, leading provider of North American energy infrastructure and commodity market insights, offering data-driven solutions to help clients navigate investment decisions, M&A transactions, and financial market opportunities. Our Mission: We are moving the market at East Daley. We are doing cool stuff. Sitting with the biggest decision-makers in the sector. We love to win and have fun! When you are on the East Daley team, you have a hand in creating your future and THE future. We work together with transparency, innovation and a play-to-win attitude. We are looking for a disciplined, detail-oriented analyst who thrives on independent work and critical thinking. This role requires both technical depth and creative problem-solving to navigate complex systems and abstract concepts. Success depends on the ability to balance speed and precision – knowing when to move fast and when to ensure accuracy, even in challenging situations. Role Responsibilities: • Analyze commodity volumes, production, prices, contract data, and flow dynamics, • Prepare monthly reports detailing regional supply & demand dynamics, • Create unique and insightful data visualizations for complex supply & demand systems, • Communicate both technical and non-technical information to internal teams and external clients, • Support senior analysts in product development and maintenance, • Develop price hub forecasts and methodologies, • Develop new products and tools for data analysis and manipulation Compensation: • Compensation is $20 per hour, with a minimum commitment of 20 hours per week, • This is an internship position based in Greenwood Village, Colorado, reporting to the Energy Market Team Lead Benefits: • Unique opportunity for rapid development in energy markets, working directly with senior analysts to build next-generation energy analytics products, • Meaningful ownership of projects with real-world application; contributing directly to client-facing research and market insights, • Exposure to live energy infrastructure data, modeling, and analytics used by institutional investors and industry participants, • Hands-on learning and professional development in a fast-paced, collaborative environment with direct mentorship from experienced market professionals, • Opportunity to build technical, analytical, and industry knowledge within the oil, gas, NGL, and financial sectors, • Currently pursuing or recently completed a Bachelor’s degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering, or a related discipline., • Demonstrated analytical ability through coursework, academic projects, internships, or research experience, • Strong critical thinking skills and attention to detail, with the ability to break down complex problems into tactical actions, • Strong ownership mentality: able to work in ambiguous situations and propose solutions, • Ability to learn quickly, prioritize, and adapt to new assignments in a fast-paced environment, • Exposure to SQL or relational databases through coursework, projects, or prior experience, • Exposure to Python or similar programming languages, • Familiarity with the Microsoft office suite, including proficiency with MS Excel and MS PowerPoint, • Strong written and verbal communication skills Preferred Qualifications: • Progress toward advanced coursework (or a Master’s degree) in Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Engineering, or a related field, • Demonstrated ability to work with large datasets, automate repetitive workflows, and build clean, reliable systems, • Experience presenting analytical findings clearly in academic, research, or professional settings, • Experience or familiarity with natural gas markets, analytics, or trading, • Strong working knowledge of Python and SQL, demonstrated through academic, research, or project-based experience, • Familiarity with data analysis libraries (e.g., pandas, NumPy) and data visualization tools (e.g., Plotly, Tableau), • Strong proficiency in MS Excel (automation, VBA, Power Query), • Familiarity with FERC, DOE regulations, • Experience with Machine Learning methodology, • Experience in client-facing roles Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. East Daley Analytics is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.