Role Overview

Develop, maintain, and optimize dashboards, scorecards, and reports to support strategic and operational decision-making across Midstream programs.
Partner with business leaders to translate requirements into data models, KPIs, and analytical frameworks that measure performance and progress against goals.
Lead data validation and governance efforts to ensure reporting accuracy and consistency across systems and business units.
Support integration and enhancement of EQT’s BI platforms and related enterprise reporting environments.
Collaborate closely with teams in Engineering, Construction, Operations, Compliance, Growth, and Control Center Programs to align insights with business needs.
Support financial, operational, and engineering teams with ad-hoc analytics and scenario modeling to inform investment and operational decisions.
Assist in identifying trends, risks, and opportunities across asset portfolios through advanced data analysis and visualization.
Drive development of BI and reporting competencies within the business by training and mentoring team members on data tools, visualization techniques, and best practices.
Champion a data-driven culture, fostering collaboration between field, engineering, finance, and IT stakeholders.
Support the evolution of EQT’s Digital Work Environment (DWE) by aligning reporting solutions with enterprise systems and data standards.
Provide analytical and project management support for strategic initiatives, including digital transformation, system optimization, and operational excellence programs.
Partner with IT and Digital teams on BI roadmap initiatives, ensuring alignment with enterprise architecture and data integration priorities.

Requirements

Bachelor’s degree in Business, Data Analytics, Engineering, Information Systems, or related field required.
3–7+ years of experience in business intelligence, data analytics, or operational analysis. Experience in the energy, utilities, or midstream sector preferred.
Demonstrated experience supporting cross-functional business operations through analytics and reporting.
Proficiency with Power BI, Spotfire, Tableau, or similar visualization tools; experience with Salesforce highly preferred.
Proficiency with Python and R.
Strong understanding of data modeling, SQL querying, and report automation.
Strong understanding of machine learning and large language models.
Familiarity with data warehouse concepts, ETL processes, and enterprise data governance.
Experience working with pipeline operations, asset management, or systems planning data is a plus.
Excellent analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable insights.
Proven ability to work effectively across technical and non-technical teams.
Strong organizational skills with the ability to manage multiple priorities in a dynamic, fast-paced environment.
Passion for continuous learning, collaboration, and driving data-driven transformation.
You can tell a story with data — translating technical findings into clear, compelling insights for business audiences.
Collaborative, proactive, and comfortable working across teams at all levels of the organization.
Occasional travel may be required.

Tech Stack

ETL
Python
SQL
Tableau

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Salesforce Business system analyst

Key skills

About this role