Data Analyst

At Exxon Mobil, 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 Exxon Mobil 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.

Exxon Mobil'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 .

• A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data
• This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights
• This job will be located in Houston, TX

• Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends; help create final displays of the results, often for formal presentations
• Build and manage data pipelines integrating structured and unstructured data sources
• Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, 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
• Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production
• Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately
• Assist in compiling data for regulatory, financial, and accounting reporting
• Maintain up-to-date and accurate data analysis and tool documentation for reference purposes
• Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
• Identify redundancies, automation opportunities, process inefficiencies and provide solutions
• Communicate, collaborate, and report with multiple departments – field operations, IT, accounting, data support groups, etc
• Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
• Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies
• Mentor engineers/analysts within the team on data engineering and BI…