Production Analytics Engineer - AI-Driven Insights

Oil Authority; Oklahoma City (OK); On-site; USD 70,000 - 110,000; Full time

Job summary

Devon in Oklahoma City seeks a Production Engineering Data Analyst to generate data-driven insights across stakeholders, automate manual processes, and develop new methods to retrieve, visualize, and analyze data from operational, geological, and financial sources.

The role offers autonomy on routine analyses, contributes to larger projects, and includes mentoring juniors, collaborating with data owners and IT, and building GenAI-powered tools to streamline recurring analyses and reporting tasks.

Qualifications

• Bachelor's Degree from an accredited college or university in MIS, Data Analytics, Information Science/Management, Economics, Finance, Accounting, Geoscience, Engineering, or related degree.
• Proven ability to build and optimize data queries and dashboards.
• Experience with descriptive analytics and visual storytelling for stakeholders.

Responsibilities

• Builds ad hoc queries and optimizes existing queries.
• Creates dashboards and reports from data models.
• Performs descriptive analytics to identify trends and anomalies.
• Documents data sources and analytical processes.
• Collaborates with stakeholders to enhance data and visualizations.
• Leads efforts to resolve complex data issues with IT involvement.
• Applies advanced analytics to large datasets for actionable insights.
• Designs and executes advanced statistical analyses and models.
• Develops GenAI-powered tools to automate recurring analyses.
• Recommends improvements to data collection and reporting processes.
• Mentors junior team members and shares data literacy resources.

Skills

SQL & Queries

Python

Data Visualization

AI Automation

Data Analysis

Data Integration

Problem Solving

Communication

Mentoring

Stakeholder Eng

Education

Bachelor's Degree

Tools

GenAI Tools

Job description

Devon in Oklahoma City seeks a Production Engineering Data Analyst to generate data-driven insights across stakeholders, automate manual processes, and develop new methods to retrieve, visualize, and analyze data from operational, geological, and financial sources.

The role offers autonomy on routine analyses, contributes to larger projects, and includes mentoring juniors, collaborating with data owners and IT, and building GenAI-powered tools to streamline recurring analyses and reporting tasks.