Operations Data Analyst

Continental Resources•Oklahoma City, OK

About The Position

The Operations Data Analyst supports production and facilities operations by leading projects that produce data-driven insights and developing business workflows for engineering teams and other stakeholders. The role identifies innovative ways to retrieve, visualize, capture, and analyze engineering, planning, and financial data from across the organization. It collaborates with petrotechnical professionals, field personnel, finance professionals, and management to gather requirements and build datasets, visualizations, and analytical tools. The analyst also troubleshoots data issues, maintains and enhances business intelligence tools and engineering-focused processes, and uses automation and AI tools to streamline workflows and develop scalable solutions.

Requirements

  • High school diploma or GED.
  • At least five years of experience in the oil and gas industry as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or in another operationally focused role.
  • Intermediate skills in business intelligence software and data platforms, including a strong understanding of complex data ingestion, manipulation, and basic scripting within the software.
  • Intermediate to advanced SQL skills, including retrieving data from relational databases, creating integrated datasets using CTEs and/or subqueries, and creating data tables and views in Databricks.
  • Strong understanding of E&P operations, with in-depth knowledge of production and facilities.
  • Ability to anticipate engineering requirements, solve problems, and proactively recommend solutions and data-driven insights.
  • Ability to work independently and as part of a team.
  • Understanding of the data models of Continental’s primary data sources, including WellView, SiteView, ProCount, Aries, SAP, Planning Analytics, and eGIS.
  • Understanding of basic data modeling and data integration principles and techniques.
  • Detail-oriented with the ability to organize and synthesize large amounts of data and efficiently produce executive-level presentations.
  • Advanced written and verbal communication skills.
  • Ability to adapt quickly and remain flexible through process changes and shifting priorities.
  • Acceptable pre-employment background and drug test.

Nice To Haves

  • Bachelor’s degree from an accredited college or university in Management Information Systems, Data Analytics, Computer Science, Economics, or a related field.
  • Understanding of production operations, oil and gas financial processes, and economic evaluation.
  • Prior experience working with Databricks, Snowflake, or another data platform.
  • Prior experience with AI-native code editors such as Cursor or Claude Code.
  • Basic coding skills in Python or R.

Responsibilities

  • Collaborate with petrotechnical professionals, field personnel, financial professionals, and management to gather data and reporting requirements and build complex datasets, visualizations, and analytical tools.
  • Discover and troubleshoot data issues across systems and drive them to resolution.
  • Own, maintain, and enhance business intelligence tools in Spotfire, Power BI, and Databricks.
  • Develop and maintain engineering-focused business processes through AI-augmented development using Cursor and Databricks.
  • Use automation and AI tools to streamline processes, automate manual workflows, and create scalable enterprise solutions.
  • Develop data-capture processes with business owners to support analytical efforts.
  • Use SQL to retrieve system data, create integrated datasets using CTEs and/or subqueries, and create data tables and views in Databricks.
  • Use Spotfire, Power BI, and Databricks to enhance existing projects and create new projects using data from sources across the enterprise.
  • Perform other duties as assigned.
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