Data Analyst at ExxonMobil
Houston, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

18 Jul, 25

Salary

0.0

Posted On

18 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, R, Computer Science, Relational Databases, Mathematics, Spotfire, Programming Languages, Data Integration, Data Visualization, Matlab, Code, Gas Industry

Industry

Information Technology/IT

Description

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.

SKILLS AND QUALIFICATIONS

  • Bachelor’s degree required, preferably in computer science, engineering, mathematics or related area. Education should include mathematical and computer training
  • Upstream Oil and Gas industry experience preferred
  • A minimum of 5 - 7 years’ experience in a technical role in the oil and gas industry. Other analytical non-industry experience may be considered
  • 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
  • Work has considerable impact on the business unit. Is recognized within the business unit as a subject matter expert within specific functions
  • 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
  • Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
  • Advanced proficiency in MS Office suite

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.

Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

LI-Onsit

Responsibilities

WHAT ROLE YOU WILL PLAY IN OUR TEAM

The Operations Engineering Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data. This role reports to the Engineering Analytics and Reporting team within Permian Operations Continuous Improvement and supports strategic decision-making in the optimization of safety, production, and cost by applying data-driven insights. The focus will be on preparing technical data for interpretation, conducting analysis of the data, creating visualizations and dashboards, and managing complex projects. 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, and 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
  • Perform additional projects or tasks as assigned by Supervisor
  • 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
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