Land Data Analyst

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 07-11-2025

Vacancies: 1 Vacancy

Job Summary

The Land Data Analyst is responsible for analyzing interpreting and visualizing land-related data to provide actionable insights that support exploration production acquisitions and divestitures. This role combines technical data skills with oil and gas land knowledge to improve decision-making optimize workflows and ensure accurate reporting across the organization.

The Land Data Analyst works closely with Land GIS Accounting Operations and IT teams to develop reporting tools manage data quality and deliver business intelligence solutions. This position reports to the Land Administration Manager.

Essential Duties & Responsibilities:

Develop maintain and optimize land data reporting tools dashboards and visualizations (e.g. Power BI Tableau Spotfire).
Analyze leasehold ownership contract and surface data to support strategic decisions and operational planning.
Partner with Land Administration and GIS to ensure data integrity and alignment between tabular and spatial datasets.
Perform data validation cleansing and quality assurance to maintain accurate and reliable records in land management systems.
Provide analytics support for acquisitions divestitures and due diligence efforts.
Identify trends risks and opportunities within land data and communicate findings to stakeholders.
Collaborate with IT and Data teams to improve data architecture system integration and workflow automation.
Support compliance and regulatory reporting by providing accurate and timely data analysis.
Ensure accuracy consistency and quality of data across multiple land management and enterprise systems.

Required Experience & Education:

Bachelors degree in Data Analytics Computer Science Energy Management Land Administration or related field.
5 years of progressive experience in oil and gas land data management analytics or data science.
Advanced proficiency in SQL Python R or other programming languages for data analysis and automation.
Strong experience with BI and visualization platforms (Power BI Tableau Spotfire etc.).
Knowledge of land agreements lease provisions and regulatory requirements in the oil and gas industry.
Experience working with large datasets and land management systems (Quorum Enverus or similar).

Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race color religion gender/pregnancy gender identity or expression sexual orientation national origin genetics disability age veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process please let us know by contacting

Required Experience:

Essential Duties & Responsibilities:

Develop maintain and optimize land data reporting tools dashboards and visualizations (e.g. Power BI Tableau Spotfire).
Analyze leasehold ownership contract and surface data to support strategic decisions and operational planning.
Partner with Land Administration and GIS to ensure data integrity and alignment between tabular and spatial datasets.
Perform data validation cleansing and quality assurance to maintain accurate and reliable records in land management systems.
Provide analytics support for acquisitions divestitures and due diligence efforts.
Identify trends risks and opportunities within land data and communicate findings to stakeholders.
Collaborate with IT and Data teams to improve data architecture system integration and workflow automation.
Support compliance and regulatory reporting by providing accurate and timely data analysis.
Ensure accuracy consistency and quality of data across multiple land management and enterprise systems.

Required Experience & Education:

Bachelors degree in Data Analytics Computer Science Energy Management Land Administration or related field.
5 years of progressive experience in oil and gas land data management analytics or data science.
Advanced proficiency in SQL Python R or other programming languages for data analysis and automation.
Strong experience with BI and visualization platforms (Power BI Tableau Spotfire etc.).
Knowledge of land agreements lease provisions and regulatory requirements in the oil and gas industry.
Experience working with large datasets and land management systems (Quorum Enverus or similar).

Required Experience: