Supervisor​/Manager - Operations Analytics

Supervisor / Manager - Operations Analytics - 2...

The Operations Analytics Leader leads a small team responsible for delivering high‑quality operational analytics, reporting, and process improvements across operations. This role combines hands‑on analytical work with day‑to‑day team leadership, ensuring reliable data, actionable insights, and strong alignment with Operations leadership. Databricks expertise is essential.

• Lead and mentor a team of analysts supporting field operations, logistics, and executive decision‑making.
• Prioritize workload, assign tasks, and ensure timely delivery of reports, dashboards, and analysis.
• Establish standards for data quality, documentation, and analytical best practices while building a culture that fosters innovation.

• Hands‑on development and maintenance of Databricks notebooks, data pipelines, and operational models.
• Support the creation of digestible dashboards and KPIs that support throughput optimization, asset reliability, and regulatory reporting.
• Ensure data accuracy and consistency across operational datasets, partnering with IT and Data Engineering as needed.

• Understand the organization's business strategy and operations to ensure platform capabilities support business objectives.
• Support initiatives related to artificial intelligence, digital transformation, automation, and workflow standardization.
• Provide clear, actionable insights to Operations, Engineering, and Commercial teams.

• Serve as a key point of contact for operations leadership regarding analytics priorities and reporting needs.
• Translate business requirements into technical specifications and ensure alignment across teams.
• Provide training and support to end‑users to ensure successful implementation and utilization of operational dashboards.

• 8+ years of experience in operations analytics, or similar roles, for mid-to-large organizations.
• 4+ years of experience leading or mentoring analysts (formal or informal).
• Strong hands‑on experience with Databricks
  , SQL, and data modeling.
• Proficiency with BI tools (Power BI, Spotfire, Tableau).
• Strong communication skills with the ability to present insights to operational leadership.

• Experience with in midstream, energy, or industrial operations.
• Understanding of compression or midstream operational workflows (SCADA data, maintenance planning, or scheduling).
• Familiarity with Azure or other cloud data platforms.

An equal opportunity employer and does not discriminate against qualified applicants on the basis of actual or perceived race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law.

The nature and frequency of the above working conditions and requirements may vary depending on individual operational circumstances. Where feasible, the Partnership will make reasonable accommodations to qualified individuals with disabilities to enable them to perform the essential functions of the job.

DISCLAIMER
:
The statements listed in this job posting, which are subject to change, are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.