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Energy Market Data Analyst Intern

Job in Englewood, Arapahoe County, Colorado, 80111, USA
Listing for: East Daley Analytics
Part Time, Apprenticeship/Internship position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Science Manager, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 20 USD Hourly USD 20.00 HOUR
Job Description & How to Apply Below

******* Required to be considered*********


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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

• We're a collaborative, in-person team - and yes, we're dog-friendly! Several team members bring their well-behaved dogs to the office from time to time.

Requirements

Minimum Qualifications:

• 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 Power Point

• 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,…
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