Petroleum Analytics Engineer: AI-Driven Upstream Forecasting

Enterprise Products; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Enterprise Products is seeking an experienced petroleum engineer to join the Upstream Supply Appraisal team in Houston, TX. You will develop production forecasts, evaluate well performance, and support midstream projects using Python, SQL, statistics, and AI-enabled tools to deliver clear business insights.

The role emphasizes reproducible analytics, collaboration with cross-functional teams, and communicating findings to senior management, Investor Relations, and Commercial teams.

Qualifications

• Bachelor’s degree in Petroleum Engineering or a related STEM field.
• 3+ years of oil and gas experience in petroleum, production, reservoir engineering, reserves, forecasting, upstream analytics, or supply appraisal.
• Strong knowledge of major U.S. producing regions and the economic drivers of upstream/midstream businesses.
• Experience with applied statistics, uncertainty/sensitivity analysis, model validation, and large datasets.
• Clear written and verbal communication translating technical analysis into business insights.
• Experience developing reproducible analytical solutions with documentation, testing, and version control.
• Experience with AI-assisted or agentic development tools such as Claude Code or GitHub Copilot.
• Experience with Snowflake, Power BI, ArcGIS, Spotfire, cloud platforms, or similar data/visualization tech.
• Proficiency in Python and SQL for data analysis, automation, or workflow development.

Responsibilities

• Develop production forecasts for producers, assets, acreage positions, and U.S. regions with Commercial teams.
• Evaluate well performance, development activity, inventory, type curves, and basin trends.
• Support midstream capital projects and evaluations across gathering, processing, pipelines, storage, fractionation, and exports.
• Build and automate analytical workflows using Python, SQL, statistics, and visualization tools.
• Use AI-assisted tools to accelerate analysis, coding, research, and workflow automation with proper validation.
• Collaborate with Data Engineering, IT, AI, and Cybersecurity to productionize solutions.
• Communicate findings and business implications to Commercial teams, Investor Relations, and senior management.

Skills

Python

SQL

Statistics

AI-enabled tools

Communication

Forecasting

Data analysis

Education

Bachelor's degree in Petroleum Engineering or related STEM

Tools

Snowflake

Power BI

ArcGIS

Spotfire

Cloud platforms

Claude Code

GitHub Copilot

Job description

Enterprise Products is seeking an experienced petroleum engineer to join the Upstream Supply Appraisal team in Houston, TX. You will develop production forecasts, evaluate well performance, and support midstream projects using Python, SQL, statistics, and AI-enabled tools to deliver clear business insights.

The role emphasizes reproducible analytics, collaboration with cross-functional teams, and communicating findings to senior management, Investor Relations, and Commercial teams.