Reservoir Engineering Technician
Mustang Fuel Corporation5 months ago
Oklahoma City, OK, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Summary
The Reservoir Engineering Technician supports upstream oil and gas engineering operations by collecting, validating, analyzing, and visualizing large datasets related to reserves, production, drilling, economics, and operating costs. This role partners closely with engineering, geology, land, accounting, and IT teams to ensure data accuracy and deliver insights that improve operational performance and decision-making.
Key Responsibilities
- Maintain and support the Aries reserves and economics database
- Gather, validate, and reconcile data across engineering, accounting, and land systems
- Analyze production, LOE, revenue, and capital data to identify trends
- Build dashboards and reports (Power BI, Spotfire, Excel)
- Support forecasting, budgeting, and asset performance analysis
- Collaborate with engineering, accounting, land, and IT teams
- Identify opportunities to automate reporting and improve workflows
Qualifications
- Bachelor’s degree: in Data Analytics, Mathematics, Statistics, Computer Science, Economics, or related field
- Experience: 2 to 5 years of data analysis experience, preferably in oil & gas or another asset-intensive industry
- Proficiency: in SQL and relational databases
- Advanced Excel skills: (pivot tables, Power Query; VBA a plus)
- Experience: with data visualization tools (Power BI, Spotfire, or similar)
- Skills: Strong analytical, detail-oriented, and communication skills
Preferred Qualifications
- Experience: supporting E&P engineering or operations teams
- Exposure: to economic modeling, forecasting, or reserves processes
- Experience: integrating data across accounting, production, and engineering systems
- Familiarity: with upstream datasets (production, LOE, revenue, drilling, reserves)
Required Skills
Excel
SQL
Power BI
Budgeting
Operational Performance Improvement
Data Visualization
Spotfire
Forecasting
Collaboration
Data Analysis