Operations Data Analyst

Continental Resources•Oklahoma City, OK

About The Position

A Data Analyst supporting production and facilities operations leads projects to produce data-driven insights and develops business workflows for engineering teams and other stakeholders across the organization. The successful candidate seeks innovative ways to retrieve, visualize, capture, and analyze data across engineering, planning, and financial sources. The role collaborates with petrotechnical professionals, field personnel, financial professionals, and management to gather reporting requirements and build datasets, visualizations, and analytical tools. It owns and enhances business intelligence tools, develops engineering-focused processes using AI-augmented development, and applies automation and AI to create scalable solutions. The position also develops data-capture processes and uses SQL, Spotfire, Power BI, and Databricks to maintain and create projects using data from across the enterprise.

Requirements

  • High school diploma or GED.
  • At least five years of oil and gas industry experience as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or in another operationally focused role.
  • Intermediate skills with BI 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 solve problems, anticipate engineering requirements, 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.
  • Attention to detail and ability to organize and synthesize large amounts of data into executive-level presentations efficiently.
  • Advanced written and verbal communication skills.
  • Ability to adapt quickly and remain flexible as processes and priorities change.
  • Must pass an acceptable pre-employment background check 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 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 critical 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 alongside business owners to support analytical efforts.
  • Use SQL to retrieve 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 enterprise data from a variety of sources.
  • Perform other duties as assigned.
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