Data Analyst

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

• 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

What you will do

• 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 development techniques

About You

• Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field
• Education should include mathematical and computer training
• 5+ years experience in a technical role
• Advanced level of data handling skills to include data integration and creating reports
• Proficient working with relational databases and generating complex data visualizations
• Can modify established workflows and evaluate and assess errors as they arise
• Can interpret, understand, and explain workflows and data processes
• Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes
• Works under limited supervision
• Works with technical staff and professionals
• Experience with data visualization including Spotfire and PowerBI applications is required
• Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
• Advanced proficiency in MS Office suite

Preferred Qualifications/ Experience

• Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
• Subject Matter Expert within select functions applicable to Data Analyst role

Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
• Comprehensive medical, dental, and vision plans.
• Culture of Health: Programs and resources to support your wellbeing.
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

More information on our Company’s benefits can be found at www.exxonmobilfamily.com

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Employer equal opportunity

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.