Data Analyst

 

About us

 

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

 

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can  work together.

 

 

About Houston

 

ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

 

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry.

 

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

 

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities.

 

Learn more about what we do in Houston here.

What role you will play in our team

 

The Oil and Gas Reserves Data Analyst will leverage advanced data science techniques to analyze, model, and optimize hydrocarbon reserves. This role reports to the Unconventional Reserves Team and supports strategic decision-making in exploration, production, and asset management by applying data-driven insights.  The focus will be on improving the understanding of key well performance drivers, reserves revisions and other data trends as related to the reserves process. This job is located in Houston, TX

What you will do

 

• Analyze spatial data to identify performance trends
• Build and manage data pipelines integrating structured (e.g., well logs, etc.) and unstructured data sources.
• Support department in developing and maintaining dashboards, mapping applications and tools to strengthen for monitoring reserves and improving the reserves processes 
• Perform statistical analysis, pattern recognition, and predictive modeling to detect hidden trends.    
• Maintain up-to-date and accurate reserves data analysis documentation for reference purposes.
• Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations to management
• Assist in compiling data for annual reserves and financial reporting
• Design, develop, and institute automated workflows utilizing various technologies (GIS, SQL, Spotfire, Alteryx, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance 
• Develop ETL processes and maintain application integrations across multiple systems and data sources
• Keep Uncon Reserves Manager up to date on all data science/reserve related activities.
• Collaborate with reserves team as required to complete special reserves related studies – (Reliable Technology, Special/Technical studies, Competitor analysis, etc.)
• Perform additional projects or tasks as assigned by Supervisor
• Stay updated on advancements in AI, machine learni