Engineering Data Analyst

Summary

Mustang Fuel Corp is focused on supporting upstream oil and gas operations, and they are seeking a Data Analyst to enhance operational performance through data analysis. This role involves collecting, validating, and visualizing large datasets, while collaborating with various teams to deliver insights and improve decision-making.

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

Skills

• Bachelor's degree in Data Analytics, Mathematics, Statistics, Computer Science, Economics, or related field
• 2 – 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)
• Strong analytical, detail-oriented, and communication skills
• 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)

Qualifications

Must Haves

• Bachelor's degree in Data Analytics, Mathematics, Statistics, Computer Science, Economics, or related field
• 2 – 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)
• Strong analytical, detail-oriented, and communication skills

Nice to Haves

• 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)