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Commodities Services Analyst/Senior Analyst

EQT Corporation•Houston, TX
•Hybrid
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About The Position

At EQT, you won't just do a job, you'll help shape our future. Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard. Through Connected Impact, you'll see how your work influences critical business decisions and drives value across our operations. Through Supported Growth, you'll have opportunities to expand your skills through cross-functional collaboration, development opportunities, and career advancement. Join our Qrew! Commodities Services supports EQT's commercial and trading organization through operational, reporting, and mid-office functions. This side of the team is heavily focused on analytics infrastructure and cross-functional data work: building and maintaining BI dashboards (Power BI, Spotfire), owning data pipelines feeding forecasting and reporting tools, triaging data/BI issues with IT Data Engineering, and producing the reporting and analysis packages used by trading and leadership to track pricing, P&L, and market exposure. The team also supports market data platform migrations and broader Commodities knowledge-sharing initiatives. This role is being hired at flexible levels — Analyst or Senior Analyst — depending on the candidate's experience. It will work on operational, reporting, and mid-office support for the Commodities Services team, with a growth path toward greater ownership of analytics and reporting infrastructure.

Requirements

  • 2+ years of relevant experience.
  • Bachelor's degree in business, finance, economics, or a related field.
  • Proficiency in Microsoft Excel & PowerPoint (formulas, data organization, formatting)
  • Working knowledge of SQL and relational databases.
  • Organization and time management skills; ability to multi-task under competing priorities.
  • Analytical thinking and structured problem-solving ability.
  • Foundational understanding of commodities markets and the end-to-end trade lifecycle.
  • Basic understanding of P&L and pricing concepts.
  • Ability to communicate data insights clearly to non-technical audiences.
  • Ability to troubleshoot data quality issues and trace them to root cause.

Nice To Haves

  • Financial modeling experience.
  • Experience with SQL and relational databases in a production reporting environment.
  • Proficiency with Microsoft PowerPoint for management-level presentations.
  • Proficiency developing and utilizing BI tools (Power BI, Spotfire) and data pipeline tools (Python, SQL, Databricks).
  • Strong understanding of P&L, pricing, and market risk exposure concepts.
  • Understanding of natural gas marketing (basis differentials, pipeline capacity, supply/demand dynamics, counterparty relationships).
  • Demonstrated project ownership — able to plan, execute, and deliver scalable reporting/data solutions with minimal guidance.
  • Experience mentoring or reviewing the work of junior analysts.

Responsibilities

  • Own components of recurring reports and dashboards with minimal oversight.
  • Develop and enhance dashboards and data models.
  • Perform analysis on pricing, volumes, and market exposure.
  • Support trading activities and operational reporting needs.
  • Gather and document requirements by collaborating with stakeholders.
  • Identify and implement incremental process improvements.
  • Own end-to-end delivery of dashboards, models, and reporting processes.
  • Develop and maintain data pipelines and reporting infrastructure.
  • Analyze PnL, pricing, and market exposure to support trading decisions.
  • Assist with preparation of presentations.
  • Improve and automate existing reporting workflows.
  • Translate stakeholder requirements into scalable analytical solutions.
  • Mentor junior analysts and review their work.
  • Prepare reports, analytical summaries, and PowerPoint presentations that synthesize data and insights for internal stakeholders and management.
  • Support delivery of analytical presentations to internal stakeholders; ensure data accuracy and visual clarity of all presentation materials.
  • Maintaining and troubleshooting BI dashboards and data pipelines (Power BI, Spotfire, forward curve/market data feeds).
  • Triaging and resolving data quality issues in partnership with IT Data Engineering.
  • Building and updating forecast models (e.g., NGL forecasting).
  • Supporting broader Commodities data initiatives such as system migrations and reporting hierarchy build-outs.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

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