Commodities Services Analyst – Senior Analyst

EQT Corporation

Houston (TX)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Jobtailor in Houston is seeking a data analytics professional to support trading operations through dashboards, data models, and reporting infrastructure. You will analyze pricing, volumes, and P&L, translate stakeholder needs into scalable solutions, and own end-to-end dashboard delivery.

The role requires 2+ years of experience, SQL/Power BI proficiency, and strong communication skills to present insights to non-technical audiences.

Qualifications

  • 2+ years of relevant experience in data analytics or finance
  • Bachelor's degree in business, finance, economics, or related field
  • Proficiency in Excel and PowerPoint including formulas, data organization, formatting
  • Working knowledge of SQL and relational databases
  • Ability to multitask and manage priorities in a fast-paced environment
  • Analytical thinking with structured problem-solving
  • Foundational understanding of commodities markets and end-to-end trade lifecycle
  • Basic understanding of P&L and pricing concepts
  • Ability to communicate data insights clearly to non-technical audiences
  • Preferred: financial modeling experience
  • Preferred: SQL in a production reporting environment
  • Preferred: Power BI, Spotfire, Python, Databricks proficiency
  • Preferred: strong understanding of market risk exposure concepts
  • Preferred: knowledge of natural gas marketing concepts
  • Preferred: demonstrated project ownership and scalable reporting solutions
  • Preferred: mentoring or reviewing junior analysts

Responsibilities

  • Support commercial and trading organization through reporting and mid-office functions
  • Own components of recurring reports and dashboards
  • Develop and enhance dashboards and data models
  • Analyze pricing, volumes, P&L, and market exposure to support trading decisions
  • Gather and document stakeholder requirements
  • Identify and implement process improvements
  • Own end-to-end delivery of dashboards, models, and reporting processes
  • Develop data pipelines and reporting infrastructure
  • Prepare analytical presentations for internal stakeholders
  • Improve reporting workflows and automate processes
  • Translate stakeholder needs into scalable analytical solutions
  • Mentor junior analysts and review their work
  • Prepare reports and PowerPoint presentations for management
  • Maintain and troubleshoot BI dashboards and data pipelines (Power BI, Spotfire)
  • Triage data quality issues with IT Data Engineering
  • Build forecast models (e.g., NGL)
  • Support data initiatives including migrations and hierarchy builds
  • Ensure data accuracy and clear presentation visuals

Skills

SQL proficiency
Power BI
Excel
Data analysis
Communication
Financial modeling
Spotfire
Python
Databricks
P&L understanding

Education

Bachelor's degree in business/finance/economics

Tools

Power BI
Spotfire
SQL
Databricks
Excel
PowerPoint

Job description

  • Support EQT's commercial and trading organization through operational, reporting, and mid-office functions
  • Own components of recurring reports and dashboards with minimal oversight
  • Develop and enhance dashboards and data models
  • Analyze pricing, volumes, P&L, and market exposure to support trading decisions
  • Support trading activities and operational reporting needs
  • Gather and document stakeholder requirements
  • 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
  • Assist with preparation and delivery of analytical presentations
  • Improve and automate reporting workflows
  • Translate stakeholder requirements into scalable analytical solutions
  • Mentor junior analysts and review their work
  • Prepare reports, analytical summaries, and PowerPoint presentations for internal stakeholders and management
  • Maintain and troubleshoot BI dashboards and data pipelines, including Power BI, Spotfire, and forward curve/market data feeds
  • Triage and resolve data quality issues with IT Data Engineering
  • Build and update forecast models, such as NGL forecasting
  • Support Commodities data initiatives, including system migrations and reporting hierarchy build-outs
  • Ensure data accuracy and visual clarity of presentation materials
Requirements
  • 2+ years of relevant experience
  • Bachelor's degree in business, finance, economics, or a related field
  • Proficiency in Microsoft Excel and PowerPoint, including formulas, data organization, and formatting
  • Working knowledge of SQL and relational databases
  • Organization and time management skills; ability to multitask 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
  • Preferred: financial modeling experience
  • Preferred: SQL and relational databases experience in a production reporting environment
  • Preferred: proficiency with PowerPoint for management-level presentations
  • Preferred: proficiency with Power BI, Spotfire, Python, SQL, and Databricks
  • Preferred: strong understanding of P&L, pricing, and market risk exposure concepts
  • Preferred: understanding of natural gas marketing, including basis differentials, pipeline capacity, supply/demand dynamics, and counterparty relationships
  • Preferred: demonstrated project ownership and ability to deliver scalable reporting/data solutions with minimal guidance
  • Preferred: experience mentoring or reviewing junior analysts
Core Competencies

Demonstrates expertise in data analysis, reporting, and dashboard development to support trading decisions and operational needs. Proficient in SQL, Power BI, and Excel, with a strong understanding of commodities markets and financial modeling.

Highest-signal resume keywords
  • SQL Proficiency
  • Power BI Dashboard Development
  • Data Analysis and Reporting
  • Financial Modeling Experience
  • Commodities Market Understanding
Hard Skills
  • Data Analysis
  • Dashboard Development
  • Financial Modeling
  • SQL
  • Excel
  • Power BI
  • Spotfire
  • Python
  • Databricks
  • P&L Analysis
Soft Skills
  • Analytical Thinking
  • Structured Problem-Solving
  • Time Management
  • Communication Skills
  • Mentoring
Industry Keywords
  • Commodities Markets
  • Trade Lifecycle
  • Market Risk Exposure
  • Data Quality
  • Forecast Models
Tools & Technologies
  • Power BI
  • Spotfire
  • Excel
  • PowerPoint
  • SQL
  • Databricks
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