Land Business Analyst I

Expand Energy•Oklahoma City, OK

About The Position

This entry-level role provides technical data, reporting, application, and process support across Land. The position strengthens the Land Core technical team by supporting Land data queries and reporting in Snowflake while helping expand the practical use of AI, automation, and modern data tools across Land applications and workflows. The role works closely with experienced Land Business Analysts, Land functional teams, Accounting, IT, and adjacent teams to translate business questions into reliable data outputs and technology-enabled solutions.

Requirements

High school diploma or GED.
Basic oil and gas knowledge.
Basic understanding of the core functions of Land Department groups and the interdependencies between them.
Understanding of basic Land practices and terminology, including lease terms, identifying ownership information, acreage terminology, and lease and well statuses.
Understanding of basic working interest and net revenue interest calculations and conveyances affecting them.
Excellent verbal and written communication skills to communicate with partners properly and efficiently.
Ability to troubleshoot and resolve basic application issues with users.
Proficiency in Microsoft Office, particularly a basic understanding of Microsoft Excel formulas, functions, and pivot tables.
Minimum of 0 years of related work experience.

Nice To Haves

Bachelor’s degree from an accredited university in Energy Management or MIS.

Responsibilities

Gather, validate, analyze, and present data from Snowflake and other approved enterprise data sources in response to Land data requests.
Develop and maintain SQL queries, recurring reports, data extracts, and quality-control routines.
Document Land data structures, query logic, business rules, and reporting dependencies.
Research discrepancies across Land source systems, Snowflake, and downstream reporting, and coordinate resolution.
Assist with Land data cleansing, reconciliation, conversions, and system implementation activities.
Build and maintain repeatable data-quality checks for ownership, lease, payment, well, and related Land information.
Support testing, validation, issue tracking, and documentation for Land application enhancements and integrations.
Identify and implement practical AI, Copilot, and automation opportunities to reduce manual work or improve accuracy.
Support Land employees using approved AI tools through use-case development, testing, documentation, and adoption.
Provide functional and technical support for Land applications, reports, and data-related questions.
Create process documentation, data definitions, training materials, and user guidance.
Participate in Land digital advancement initiatives and special projects.