Operations Data Analyst

Job Summary

A Data Analyst supporting production and facilities operations is primarily responsible for leading projects to produce data driven insights and developing business workflows for the engineering teams and other stakeholders across the organization. A successful candidate will actively seek out and generate new and innovative ways to retrieve visualize capture and analyze data across a variety of engineering planning and financial data sources.

Duties and Responsibilities

• Collaborates with varying levels of petrotechnical professionals field personnel financial professionals and management to effectively gather data/reporting requirements and build complex datasets visualizations and analytical tools
• Discovers and troubleshoots data issues across systems and drives issues to resolution.
• Owns maintains and enhances critical business intelligence tools in Spotfire Power BI and Databricks.
• Develops and maintains engineering focused business processes through AI-augmented development using Cursor and Databricks.
• Leverages automation and AI tools to streamline processes automate manual workflows and create scalable enterprise solutions.
• Develops data capture processes alongside business owners to support analytical efforts.
• Uses SQL to retrieve data from systems create integrated datasets using CTEs and/or subqueries and create data tables and views within Databricks.
• Uses Spotfire Power BI and Databricks to enhance existing projects and create new projects using data from a variety of sources across the enterprise.
• Other duties as assigned

Skills and Competencies

• Strong understanding of E&P operations with in depth knowledge of production and facilities.
• Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data driven insights.
• Self-starter with ability to work as part of a team or individually.
• Understands the data models of Continentals primary data sources including WellView SiteView ProCount Aries SAP Planning Analytics eGIS.
• Understands basic data modeling and data integration principles and techniques.
• Detail oriented with ability to organize and synthesize large amounts of data to generate executive-level quality presentations in an efficient manner.
• Advanced written and verbal communication skills.
• Ability to quickly adapt and exemplify flexibility around process changes and shifting priorities.

Required Qualifications

• High school diploma (or GED).
• Minimum five (5) years of experience in the oil and gas industry working as a Data Analyst Engineering Tech Engineering Specialist Business Analyst or other operationally focused role.
• Intermediate skills within BI software and data platforms 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.

Preferred Qualifications

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

Physical Requirements and Working Conditions

• Requires prolonged sitting some bending and stooping.
• Occasional lifting up to 25 pounds.
• Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources Inc. provides equal employment opportunities and access for all applicants and employees without regard to race color religion sex (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression national origin age disability genetic information veteran status or any other category protected by law.

Required Experience:

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