RRC - Data Analyst IV - Oil and Gas Technical Permitting – Subsurface Investigation Unit
Listed on 2026-02-13
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IT/Tech
Data Analyst, Data Engineer -
Engineering
Data Engineer
The Railroad Commission of Texas is a state agency with primary regulatory jurisdiction over the oil and natural gas industry; pipeline transport and pipeline safety; natural gas utilities; the LP-gas industry; and surface mining operations. You can find more details about us on the Railroad Commission of Texas’ website here https://(Use the "Apply for this Job" box below)./
To support our mission to serve Texas, we need great people to join our team. We provide a great working environment along with outstanding benefits, including:
- Generous paid time off, including vacation, sick time, and at least 12 paid holidays per year
- Telework options for eligible positions
- Flexible work schedules
- Retirement pension with a 150% agency match – you can watch this You Tube video that describes this amazing benefit
- 401(k), 457(b) and Roth
- Health premiums 100% paid for full-time employees
- Tuition Reimbursement
- Wellness and Exercise Leave
- Career development programs/opportunities for advancement
For a complete list of our total compensation package, please visit our website at https:// To view benefits available to all State of Texas employees, visit the Employee Retirement Systems website at .
Job DescriptionThe Railroad Commission of Texas (RRC), recognized as a worldwide leader in the regulation of oil and gas exploration and production, seeks a Data Analyst IV to provide data analysis, data management, and research work for a newly formed Subsurface Investigation Unit in the Technical Permitting Section of the Oil & Gas Division. Major responsibilities include analyzing, maintaining, and enhancing division's existing databases, resources, and tools.
Creating and analyzing subsurface investigation data while collaborating with other team members. Performing data clean-up and transformation, including migration of data from existing databases to new databases. Coordinating and communicating as needed with RRC's Information Technology Services Division.
Job Duties
- Understand and utilize RRC applications to compile and query data.
- Develop and maintain data visualizations and dashboards using Power BI, including advanced use of DAX and Power Query (M language) for data modeling and transformation.
- Design and implement automated workflows with Power Automate to streamline document routing, notifications, and Excel log updates.
- Utilize Python scripting to support process automation, data extraction, and data transformation tasks.
- Build and manage relational data models and maintain data accuracy across Excel, Access, ArcGIS Pro, and SQL-based systems.
- Identify opportunities for process improvement by optimizing workflows, enhancing data validation methods, and standardizing reporting practices across teams.
- Analyzes data using standard statistical tools, methods, and techniques.
- Consults with internal and external customers to identify user needs.
- Interpret results to identify gaps in the data, processes, or applications.
- Quality control data by discarding irrelevant information.
- Create meaningful reports and dashboards for daily/weekly/monthly reviews at various levels.
- Assists in developing methods for mitigating data issues by creating and testing user cases.
- Assists in preparing technical reports to present and interpret data, identify alternatives, and make and justify recommendations on data revisions.
- Assists in identifying and interpreting data patterns and trends and assessing data quality.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Establish and maintain standard work procedures governing the appropriate use of data.
- Perform related work as assigned.
For Military Crosswalk information, please visit: Crosswalk/
Minimum Qualifications- Graduation from an accredited four-year college or university with major coursework in Data Science;
Business Analytics;
Computer Science;
Computer Information Systems;
Management Information Systems;
Mathematics;
Statistics;
Finance, or a related field. - Four (4) years of…
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