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Subsurface Data Analyst Jobs (NOW HIRING)

ECS Ltd

Geotechnical Internship (Level 2)

Franklin, TN · On-site

Performs hand auger borings to obtain soil samples and subsurface data * Assists with or performs specialized testing (e.g., Pile Driving Analyzer testing) * Supports site seismic testing and other ...

Chord Energy

Geologist

Houston, TX

Applies knowledge of geosteering & geology to select pilot wells, steer horizontal wells, and analyze subsurface data for development planning * Proactively and effectively communicates with field ...

ECS Ltd

Geotechnical Internship (Level 2)

Franklin, TN · On-site

Performs hand auger borings to obtain soil samples and subsurface data * Assists with or performs specialized testing (e.g., Pile Driving Analyzer testing) * Supports site seismic testing and other ...

ECS Ltd

Geotechnical Internship (Level 2)

Orlando, FL · On-site

Performs hand auger borings to obtain soil samples and subsurface data * Assists with or performs specialized testing (e.g., Pile Driving Analyzer testing) * Supports site seismic testing and other ...

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Subsurface Data Analyst information

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How much do subsurface data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for subsurface data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a subsurface data analyst?

A Subsurface Data Analyst collects, processes, and interprets geological and geophysical data to support exploration and production activities in industries like oil and gas, mining, and environmental science. They work with datasets from sources such as seismic surveys, well logs, and geological models to identify patterns, assess subsurface conditions, and improve decision-making. This role requires expertise in data management, visualization, and analytics tools to ensure accurate and efficient use of subsurface information.

What does a subsurface data analyst do?

On a typical day, a Subsurface Data Analyst gathers and processes geological, geophysical, or petrophysical data to help evaluate subsurface conditions and identify potential resource opportunities. They use specialized software to interpret seismic data, generate subsurface maps or models, and contribute technical findings to multidisciplinary teams. The role often involves preparing reports or data visualizations and participating in project meetings to support engineers, geoscientists, or drilling specialists. Analysts may also be responsible for quality control of incoming data and recommending improvements in data acquisition or interpretation techniques.

What skills and qualifications are needed to be a subsurface data analyst?

To thrive as a Subsurface Data Analyst, you need a solid background in geology, geophysics, or petroleum engineering, with proficiency in data analysis and interpretation related to subsurface environments. Expertise with technical tools such as Petrel, Kingdom, or Geoteric software, along with experience in handling large datasets, and certifications like GISP or relevant industry training, is highly valued. Strong problem-solving skills, attention to detail, and effective communication abilities set outstanding analysts apart. These skills ensure accurate data-driven insights that are vital for resource evaluation and successful collaboration within multidisciplinary energy or environmental teams.

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Subsurface Data Analyst jobs near you
Infographic showing various Subsurface Data Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

AI Product Owner - Geoscience & Reservoir

Diamondback Energy

Midland, TX • On-site

Full-time

Posted 12 days ago

Diamondback Energy rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

9th of 87 rated oil and gas companies

Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
The AI Product Owner - Geoscience and Reservoir serves as the primary business representative for Artificial Intelligence (AI) products supporting Diamondback Energy's Geoscience, Reservoir Engineering, Planning, and related subsurface workflows. This role owns the product outcome lifecycle from opportunity identification and discovery through prioritization, product definition, business validation, adoption, value realization, and continuous improvement. The Product Owner partners with AI Engineering & Delivery and other technology teams for technical feasibility, solution engineering, productionization, deployment, and technical operations. The Product Owner combines subsurface domain knowledge, product ownership skills, and AI fluency to deliver responsible solutions that improve reservoir characterization, development planning, forecasting, reserve optimization, asset performance, and operational decision-making.
Job Responsibilities:
Include but are not limited to
  • Partner with geoscientists, reservoir engineers, and related stakeholders to understand subsurface workflows, user needs, data requirements, controls, and challenges, and identify, evaluate, and prioritize AI and automation opportunities based on business value, technical feasibility, risk, data readiness, and strategic alignment.
  • Own the business problem definition, product vision, target users and workflows, value hypothesis, roadmap, priorities, success measures, and expected business outcomes, partnering with business sponsors and the AI Value & Economics Lead to establish baseline performance and the approach for measuring realized outcomes before significant investment.
  • Lead product discovery to validate the business problem, user needs, workflows, constraints, value hypothesis, and potential solution approaches before significant production investment, using rapid prototypes, workflow simulations, data exploration, user testing, vendor capability assessment, and other lightweight experiments to reduce uncertainty and test assumptions.
  • Translate business needs into clear product requirements, user stories, acceptance criteria, and AI quality expectations.
  • Manage the product backlog and make product scope and priority decisions; lead business validation and user acceptance testing; and hold product acceptance decision rights against defined requirements, acceptance criteria, user needs, and expected business outcomes.
  • Partner with technology, data, security, governance, legal, risk, and technical subject matter experts to deliver scalable solutions that meet responsible AI, confidentiality, data quality, and compliance requirements.
  • Represent Geoscience, Reservoir Engineering, and Planning stakeholder needs; coordinate cross-functional dependencies with Production, Operations, and asset teams; and support user readiness and adoption.
  • Own post-launch product performance and continuous improvement by monitoring adoption, AI performance, business outcomes, realized value, user feedback, and relevant risk measures, and prioritize the changes needed to improve product outcomes.

Required Qualifications:
  • Bachelor's degree in Geoscience, Petroleum Engineering, Reservoir Engineering, Data Science, Information Systems, or a related technical field
  • 5+ years of experience supporting geoscience, reservoir engineering, subsurface planning, or a closely adjacent technical function within oil and gas
  • Experience leading cross-functional technology, analytics, process improvement, or business transformation initiatives in a technical subsurface environment
  • Experience translating technical workflows and business needs into clear requirements, priorities, and measurable outcomes
  • Experience working with subsurface, reservoir engineering, planning, production, or analytics data and systems, including technologies such as Kingdom, IP, Aries, Petrel, OFM, Spotfire, Snowflake, SQL, Power BI, Python, and similar tools
  • Experience delivering or supporting AI, machine learning, automation, data, or analytics products from concept through adoption

Preferred Qualifications:
  • Direct Product Owner experience managing product roadmaps, backlogs, user stories, and acceptance criteria in an Agile environment
  • Experience using AI-enabled rapid product discovery techniques, including prototyping, user testing, workflow simulation, data exploration, or lightweight experimentation to test assumptions and reduce uncertainty before development.
  • Knowledge of AI model evaluation, subsurface data practices, responsible AI governance, model risk controls, and data quality requirements
  • Experience leading digital transformation or change adoption across Geoscience, Reservoir Engineering, Planning, Production, Operations, or asset teams
  • Familiarity with reservoir simulation, reserves evaluation, production forecasting, type curve development, decline curve analysis, development planning workflows

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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