AI-Driven Midstream Data Analyst

Devon Energy; Oklahoma City (OK); On-site; USD 65,000 - 90,000; Full time

Job summary

Devon Energy is seeking a data analytics professional to support engineering and petro-technical staff with data loading, validation, and reporting. You will generate data-driven insights across stakeholders and automate manual processes to improve decisions and efficiency.

The role includes building analytical tools, designing dashboards, and leading cross-functional projects while mentoring junior analysts and applying AI to accelerate insight delivery.

Qualifications

• 3-5 years experience in upstream/midstream Oil & Gas Operations preferred.
• Experience with large datasets and data quality QC.
• Proficiency with Microsoft Office Suite.
• Ability to communicate across multiple functions.

Responsibilities

• Assists engineering staff with data acquisition, preparation, and monitoring of activity across databases containing operational, AFE, and LOE data sets.
• Integrates data across financial, operational, and technical sources for a holistic view; enforces data quality standards.
• Builds analytical tools with engineering staff to provide insights into workflows.
• Leads cross-functional analytics projects and engages stakeholders throughout.
• Leverages AI tools to improve workflows and accelerate insight delivery.
• Designs interactive dashboards and visualizations for tracking and executive-level reporting; delivers presentations to leadership.
• Drives process improvements and automation for data collection, analysis, and reporting; documents best practices.
• Mentors Level 1-2 analysts and leads training on technical skills, advanced analytics, and data literacy.
• Performs other duties as assigned.

Skills

Data analysis

SQL/Database querying

Microsoft Office

Data visualization

Communication skills

Cross-functional collaboration

Education

Bachelor's Degree

Tools

SAP

Aries

SCADA

Spotfire

GIS

Siteview

Job description

Devon Energy is seeking a data analytics professional to support engineering and petro-technical staff with data loading, validation, and reporting. You will generate data-driven insights across stakeholders and automate manual processes to improve decisions and efficiency.

The role includes building analytical tools, designing dashboards, and leading cross-functional projects while mentoring junior analysts and applying AI to accelerate insight delivery.