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Field Analytics Data Analyst

Job in Midland, Midland County, Texas, 79709, USA
Listing for: Exxon Mobil
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

At Exxon Mobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. 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.

About the Permian

Straddling West Texas and southeastern New Mexico, the Permian is the most prolific oil and gas basin in America and the engine behind the country’s energy renaissance. Nationally, it provides about 40% of oil and 15% of gas production and plays a critical role in making the U.S. a leading energy exporter.

What role you will play in our team

As a member of the Continuous Improvement Permian Field Analytics Team, the Field Analytics Data Analyst supports operational and strategic decision‑making for safety, production, and cost via the implementation of data pipelines and business intelligence. The role will focus 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 Midland, 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, Snowflake, 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
  • Analyze drivers impacting LOE, Capital, and Production in coordination with Operations
  • Develop, maintain, and distribute recurring reports accurately and on time
  • Assist regulatory, financial, and accounting data compilation
  • Maintain up-to-date and accurate 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 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 operations team members on data engineering and BI development techniques
Skills and Qualifications
  • Bachelor's degree in Data/Computer Science, Engineering, Mathematics or related field. Education should include mathematical and computer training
  • 3+ years experience in a technical role
  • 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
  • Ability to work in a fast‑paced, cross‑functional environment
  • Works with technical staff and professionals
  • Ability to explain complex concepts to non‑technical staff
  • Experience with data visualization including Spotfire, Tableau, and Power

    BI 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
  • Advanced level of data handling skills to include data integration and creating reports
  • Subject Matter Expert within select functions applicable to Data Analyst role
Benefits
  • Pension Plan:
    Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid…
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