Analyst, Operational Analytics

Enterprise Products Partners L.P.Houston, TX
2d

About The Position

The Operational Analytics Analyst Analytics plays a key role in supporting cross-functional technical initiatives within midstream oil & gas operations. This position is responsible for driving visibility, accountability, and documentation across engineering, operations, and analytics teams. The ideal candidate brings strong coordination skills, technical insight, and a proactive approach to improving reporting and data integrity.

Requirements

  • Bachelor’s degree in Business, Engineering, Data Analytics, or related field.
  • 5+ years of experience in an analyst role, preferably in oil & gas or technical operations.
  • Familiarity with PI System (OSIsoft) or DataPARC and asset data management.
  • Strong organizational and communication skills.
  • Proficiency in Excel, PowerPoint, and data visualization tools (e.g., Power BI, Spotfire).
  • Ability to work independently and manage multiple priorities.
  • Experience in midstream oil & gas operations.
  • Comfortable working with technical teams and translating technical language into business insights.
  • Self-starter with a strong sense of ownership and accountability.

Nice To Haves

  • Experience with project management tools: Microsoft Azure Dev Ops (TFS), and Monday.com is a plus.

Responsibilities

  • Weekly Technical Status Reporting:
  • Coordinate with technical teams to compile and synthesize weekly status updates.
  • Ensure consistency, accuracy, and timely delivery of reports to leadership.
  • Project Coordination:
  • Attend key meetings across technical departments.
  • Document action items and follow up to ensure timely completion.
  • Maintain a centralized tracker and escalate delays or blockers.
  • PI Tag Management/ Data Quality:
  • Review P&ID & SCADA/ProcessBook application for tracking down needed PI tags.
  • Maintain and update PI tag-to-asset cross-reference documentation.
  • Assist in identifying, documenting, and resolving data quality issues for different projects or systems.
  • Work with engineering and operations teams to ensure data integrity and traceability.
  • Ownership & Initiative:
  • Take initiative in identifying gaps or inefficiencies in reporting and tracking processes.
  • Propose and implement improvements to enhance team productivity and visibility.
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