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Midstream Services Intern

EQT Corporation
Canonsburg, USA
Intern
Onsite
Discovered 2 days ago
ExcelPower BISQLPythonSalesforceCommunication

Full Job Posting

Key Responsibilities

  • Data & Analytics: Assist with analyzing operational, maintenance, financial, and project data to identify trends, exceptions, and opportunities for improvement.
  • Insights & Reporting: Support development and enhancement of dashboards, KPIs, scorecards, and reporting using tools such as Power BI, Databricks, and Salesforce. Midstream Services currently supports executive dashboards, operational and financial reporting, and integrations across multiple enterprise platforms.
  • Enterprise Systems: Gain exposure to systems supporting Midstream operations, including Maximo, Salesforce, GIS, SCADA, and related applications. Support data quality, standardization, and system improvement initiatives.
  • Asset Management & Reliability: Assist with initiatives involving equipment hierarchy, preventive maintenance, work management, asset lifecycle management, and reliability. Midstream's roadmap includes EAM master-data governance and continued maturation of reliability and lifecycle-management processes.
  • Budget & Business Support: Assist with CAPEX and O&M reporting, forecasting, variance analysis, project tracking, and other financial or business-performance activities.
  • Process Improvement: Identify opportunities to simplify processes, automate manual activities, improve data quality, and enhance reporting or workflows.
  • Cross-Functional Collaboration: Participate in meetings and working sessions with Operations, Engineering, Finance, Digital/IT, and other Midstream teams.
  • Project Ownership: Own one or more defined summer projects from initial assessment through recommendations and final presentation.
  • Final Presentation: Present internship accomplishments, findings, and recommendations to Midstream Services leadership at the conclusion of the internship.
  • Potential Summer Projects
  • Depending on business priorities in Summer 2027, assignments could include asset and maintenance data analysis, Maximo/EAM improvements, operational KPI development, Power BI/INSIGHTS enhancements, data-quality assessments, process automation, CAPEX/O&M analytics, reliability benchmarking, or evaluating emerging technologies such as AI and advanced analytics.

Qualifications

  • Currently pursuing a bachelor’s degree in Engineering, Data Analytics/Data Science, Information Systems, Computer Science, Finance, Business, Supply Chain, Energy Management, or a related discipline.
  • Expected graduation date of December 2027 or later preferred.
  • Strong analytical and problem-solving skills.
  • Interest in energy, natural gas, Midstream operations, technology, data analytics, or asset management.
  • Proficiency with Microsoft Excel and PowerPoint; experience with Power BI, SQL, Python, Databricks, Salesforce, or similar tools is a plus but not required.
  • Ability to organize and analyze data and communicate findings clearly.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively across multiple teams.
  • Curiosity and willingness to learn unfamiliar systems, technologies, and business processes.
  • What the Intern Will Gain
  • This internship provides exposure to the intersection of energy operations, engineering, technology, data, finance, and asset management. The intern will have the opportunity to work with real Midstream business challenges, interact with leaders and subject-matter experts, visit operating facilities where appropriate, and see how technology and data are being used to modernize a large-scale natural gas Midstream organization.
  • Selected incumbent will be placed into the position that best suits their abilities and experience level.
  • EQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.

Preferred Qualifications

  • Expected graduation date of December 2027 or later preferred.
  • Proficiency with Microsoft Excel and PowerPoint; experience with Power BI, SQL, Python, Databricks, Salesforce, or similar tools is a plus but not required.

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