East Daley Analytics– Dissecting operational risk across the energy value chain. Driving Energy Transparency.
We know that you don't always have the time to research assets, monitor your competition, and conduct due diligence. East Daley Analytics specializes in identifying, understanding, and monitoring operational risk at the asset level and how that translates to financial risk. We have built the largest U.S. energy asset database to cash flow to help identify which assets are most important and isolate their operational value. We can help with the heavy lifting by providing access to capital and commodity market experts through both subscription and advisory services.

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:

· Translate fundamental drivers into company outcomes (revenue/EBITDA sensitivity, throughput/tariff impacts, commodity exposure)

· Support forecast methodologies (price hubs, volumes, spreads) and scenario analysis frameworks

· Partner with senior analysts to refine company-level views that support research, product, and client needs

· Build and maintain clean workflows for data ingestion, transformation, and QA

· Create repeatable analysis tools and dashboards; automate recurring processes

· Develop high-quality, client-ready visualizations that simplify complex systems

· Communicate technical and non-technical insights to internal stakeholders and external clients

· Support senior analysts in product development, maintenance, and client-facing analysis

· Contribute to documentation and internal “institutional knowledge” so work scales across the team

Requirements:

Minimum Qualifications:

· Bachelor’s Degree required: Technical/quantitative fields strongly preferred (Statistics, Mathematics, Computer Science, Data Science, Economics/Finance, Geology, Engineering or related)

· 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

Advanced skill set requirement (must have one of the below):

· Proficiency in MS Excel (financial modeling, dynamic formulas, pivots, VBA) and working SQL exposure

· Proficiency in Python and SQL (pandas/NumPy for analysis; SQL joins, aggregations, ETL patterns)

· Strong written and verbal communication skills

Preferred Qualifications:

· Master’s of Science in Economics/Finance, Computer Science, Data Science, Statistics, Mathematics, Geology, Engineering, or 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 proficiency in MS Excel (financial modeling, dynamic formulas, pivots, VBA, Power Query)

· Proficiency in Python and SQL (pandas, NumPy for analysis; SQL joins, aggregations, ETL patterns), demonstrated through academic, research, or project-based experience

· Familiarity with data visualization tools (e.g., Plotly, Tableau)

· Familiarity with FERC, DOE regulations

· Experience with Machine Learning methodology

· Experience in client-facing roles