Reservoir Engineering Data Analyst

Continental Resources-posted 2 months ago
Oklahoma City, OK
1,001-5,000 employees
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The Reservoir Engineering Data Analyst provides data-driven insights and solutions to support the reservoir engineering team and other stakeholders across the organization. This includes retrieving, analyzing, and visualizing data; developing and maintaining analytical tools, dashboards, and custom datasets; and automating business processes.

  • Collaborates with varying levels of reservoir engineers, Petrotechnical professionals, financial professionals, and management to effectively gather requirements and build complex datasets, visualizations, analytical tools, and reports.
  • Identifies and troubleshoots data issues across systems and drives issues to resolution.
  • Develops, maintains, and enhances business intelligence tools in Spotfire and Power BI that are critical to business needs.
  • Implements automated solutions to streamline processes.
  • Performs data capture processes as necessary to support analytical efforts.
  • Uses SQL to retrieve data from systems, creates integrated datasets using CTEs and/or subqueries, updates data within systems, and creates data tables and views within Databricks.
  • Uses Spotfire to enhance existing projects and create new projects using data from a variety of sources across the enterprise.
  • Other duties as assigned.
  • Minimum five (5) years of experience in the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
  • Experience in Aries or other Economic Evaluation software with a thorough understanding of economic engine and data streams.
  • Intermediate skills within Spotfire with a strong understanding of complex data ingestion, manipulation, and basic scripting within the software.
  • Intermediate to advanced skills within SQL with the ability to retrieve data from relational databases, create integrated datasets using CTEs and/or subqueries, and create data tables and views within Databricks.
  • An acceptable pre-employment background and drug test.
  • Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting, or related degree.
  • Prior experience working with Databricks, Snowflake, or other data platforms.
  • Advanced SQL skills.
  • Advanced Spotfire skills.
  • Basic to intermediate skills in Power BI.
  • Basic coding skills in Python or R.
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