Reservoir Engineering Tech

Permian Resources Corporation; Midland (AR); On-site; USD 90,000 - 130,000; Full time

Job summary

Permian Resources Corporation is seeking a Reservoir Engineering Technician in Midland, AR to support enterprise data systems, budgeting cycles, and performance analysis.

The role requires strong data analytics, data management, and the ability to translate complex datasets into insights for Engineering, Budget & Planning, Corporate Finance, and Operations.

Qualifications

• 5+ years in oil and gas with data analytics support.
• Ability to interpret real-time and historical datasets.
• Experience with Power BI, Spotfire, SQL or similar tools.
• Strong technical data management and analytics capabilities.
• Cross-functional collaboration in fast-paced environments.

Responsibilities

• Bridge technical data systems with corporate planning processes.
• Integrate data from multiple internal systems for unified datasets.
• Support budgeting, forecasting, and monthly performance reviews.
• Prepare dashboards, variance analyses, and operational metrics.
• Automate recurring planning workflows and dashboards.
• Develop and optimize scalable data pipelines.
• Collaborate with teams to resolve data issues.
• Contribute to Databricks-based data solutions.
• Translate raw data into actionable insights.
• Handle multiple projects in a fast-paced setting.

Skills

Data analytics

Data management

Cross-functional collaboration

Automation tools

Analytical thinking

Tools

Power BI

Spotfire

SQL

Job description

Job Description:

Permian Resources (NYSE: PR) is currently seeking a Reservoir Engineering Technician who brings strong analytical capability, data management skills, and a foundational understanding of upstream oil and gas and/or corporate planning workflows. This role will support enterprise data systems, budgeting cycles, reporting processes, performance analysis, and development planning. The ideal candidate combines technical proficiency, strong attention to detail, and the ability to convert complex datasets into clear, actionable insights that enhance decision making across Engineering, Budget & Planning, Corporate Finance and Operations teams.

General responsibilities:

• Serve as a bridge between technical data systems and corporate planning processes, ensuring data accuracy, traceability, and analytical rigor.
• Integrate data from multiple internal systems to produce reliable, unified datasets for planning, engineering, and analytical use.
• Support corporate planning cycles including budgeting, forecasting, monthly performance reviews, and scenario analysis.
• Prepare deliverables for senior leadership including dashboards, variance analysis, operational metrics, and development outlooks.
• Assist in building, maintaining, and optimizing scalable data pipelines and processes supporting enterprise data needs.
• Support development and enhancement of Databricksbased data solutions under the guidance of senior data staff.
• Convert raw data into usable formats for data consumers.
• Collaborate with cross-functional teams to resolve data-related issues and implement improvements in data workflows.
• Automate recurring planning workflows (forecast pulls, dashboards, update cycles) to improve speed and consistency.
• Work on multiple projects in a fast-paced environment

Minimum Qualifications:

• 5+ years of oil and gas industry experience, with a minimum of 3 years focused on data analytics and reservoir engineering support.
• Strong analytical and data management skills, with the ability to interpret real-time and historical datasets to inform decisions.
• Experience with Power BI, Spotfire, SQL, or similar data analysis and framework tools.
• Strong technical expertise in data management, analytics, and automation tools.
• Strong problem-solving skills and ability to work cross-functionally to address technical challenges in a fast-paced environment

Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.