Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
The Sr. Operational Analytics Engineer partners closely with internal customers across Operations & Technical Services — including Operations Engineers, Reliability Engineers, Process Engineers, and field/plant Operations — to identify business problems and translate them into data‑driven solutions. This role is responsible for developing analytic tools and workflows that leverage Spotfire, Seeq, and other platforms to extract insights from operational and business data.
The engineer will also collaborate with technical teams such as Data Science, Data Engineering, and IT to ensure the right data structures, pipelines, and models are in place to support analytical needs. This position requires a blend of domain expertise, strong analytical capability, and the ability to work cross‑functionally to deliver solutions that improve operational efficiency, reliability, and cost performance.
Key Responsibilities
- Engage with internal customers (like Operations or Reliability) to define business problems and translate requirements into data‑driven analytic solutions.
- Build analytical tools and dashboards using Seeq, Spotfire, DataPARC, or PowerBI to support operational reliability and performance improvements.
- Partner with Data Science and Data Engineering to coordinate the appropriate data architecture, pipelines, and modeling approaches.
- Conduct operational root‑cause analyses using Seeq, DataPARC, or related tools.
- Work independently while also collaborating within small, cross‑functional teams.
- Facilitate improvement efforts across multiple functional groups; coordinate regular status meetings to drive progress.
- Provide clear written and verbal project updates, including insight summaries and recommendations.
Requirements
The successful candidate will meet the following qualifications:
- Strong problem‑solving skills and experience analyzing operational data is required.
- Experience with Spotfire, Seeq, or equivalent operational analytics tools is required.
- Experience with optimization techniques or mathematical algorithms is a plus.
- Bachelor's degree in Mechanical, Chemical, Electrical, or a related Engineering discipline is required.
- Master of Applied Data Science, Applied Data Analytics, or similar advanced technical degree is preferred.
- Minimum 5 years of experience in pipeline or plant operations engineering; other relevant operational experience may be considered.
- Strong communication skills with the ability to troubleshoot quickly and articulate root cause is required.
- Ability to work effectively in a small team environment.
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