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Drilling Data Analyst Jobs (NOW HIRING)

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders

The GSS Data Analyst located in Louisiana is responsible for delivering safe, efficient, and ... Knowledge of offshore drilling equipment and techniques. * Work schedule will be 3 weeks on and 3 ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products ... Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders

Previous experience as a Mud Logger or Mud Logging Data Analyst Knowledge of offshore drilling equipment and techniques. Work schedule will be 3 weeks on and 3 weeks off. Must have the legal right to ...

Supper's chat agent guides users with follow-ups, clarifies intent, and helps them drill into what ... Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem ...

Digital Drilling Engineer

Houston, TX · On-site

$129K/yr

... Data projects. The DDE provides digital drilling product support to end users to achieve the ... Perform the project technical analysis and potential value of Digital solutions based on past wells ...

The Jr. Data Analyst ensures that each well on Corva is ready for our customers to make real-time drilling and completions decisions and has a laser focus on accuracy and timeliness. The Jr. Analyst ...

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Drilling Data Analyst information

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$34K

$82.6K

$136K

How much do drilling data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for drilling 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 does a drilling data analyst do?

A Drilling Data Analyst is responsible for collecting, analyzing, and interpreting data generated during drilling operations in the oil and gas industry. They monitor real-time drilling parameters, identify trends or anomalies, and provide actionable insights to optimize drilling efficiency and safety. Their work helps reduce costs, prevent drilling hazards, and improve decision-making for drilling engineers and project managers.

What are the key skills and qualifications needed to thrive as a drilling data analyst?

To thrive as a Drilling Data Analyst, you need a solid background in geology, engineering, or data science, supported by a relevant degree and experience in oil and gas operations. Familiarity with drilling data management systems (such as WITSML), real-time monitoring tools, and proficiency in analytical software like Excel, Python, or Spotfire is typical. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data accurately and collaborate with drilling teams. These skills are crucial for ensuring data-driven decisions that improve drilling efficiency, reduce risks, and optimize operational performance.

How does a drilling data analyst typically collaborate with drilling engineers and field teams during active operations?

A Drilling Data Analyst works closely with drilling engineers and field teams to monitor, interpret, and report on real-time drilling data. They provide actionable insights by analyzing trends and anomalies, which helps optimize drilling performance and prevent issues such as equipment failure or safety risks. Effective collaboration often includes daily briefings, sharing dashboards, and participating in decision-making discussions to ensure that operational strategies are data-driven and adaptive to changing conditions.

What is the difference between Drilling Data Analyst vs Geoscientist?

AspectDrilling Data AnalystGeoscientist
Required CredentialsBachelor's in geology, engineering, or related field; technical certificationsBachelor's or higher in geology, geophysics, or earth sciences; advanced degrees often preferred
Work EnvironmentOil rigs, drilling sites, office settingsResearch labs, field sites, offices
Industry UsagePrimarily in oil and gas exploration and drilling companies

While both roles involve earth sciences and data analysis, Drilling Data Analysts focus on analyzing drilling operations data to optimize processes, whereas Geoscientists study earth formations and processes to locate resources. The roles often overlap in industry and credentials but differ in daily tasks and focus areas.

More about Drilling Data Analyst jobs

What are popular job titles related to Drilling Data Analyst jobs?

For Drilling Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Drilling Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Contact Center Data Analyst

Phoenix, AZ • On-site, Remote

U-Haul
Retail • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Evaluate and improve U-Haul's products and services through data analysis.

  • Create and maintain tables, jobs, dashboards, and visualizations to deliver insights.

  • Collaborate with stakeholders to identify business needs, develop analysis plans, and communicate key findings.


U-Haul rating

6.0

Company rating: 6.0 out of 10

Based on 523 frontline employees who took The Breakroom Quiz


Job description

United States

This position is not eligible for employer sponsorship. Applicants must be legally authorized to work and must not require employer sponsorship.

Location:

20 E Thomas Rd, Phoenix, Arizona 85012 United States of America

This position is not eligible for employer sponsorship.


To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews and assessments independently and without the use of artificial intelligence tools (including AI-generated responses, prompts, or real-time assistance).Use of AI throughout the application and recruiting process may result in removal from consideration. Our goal is to get to know your authentic experiences, communication style, and problem-solving approach.


This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work.


As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers and Business Experts and will bring big data analytics and scientific rigor to the team. This process involves understanding complex business functions, creating new solutions, analyzing structured and unstructured data, forming descriptive analysis and dashboards, and developing models for inference and prediction. You are expected to embrace new technologies and deliver smart solutions and services, collaborate with teams, share their knowledge, and collectively grow capability, skills, and knowledge in the team.


Responsibilities:

  • Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs
  • Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders
  • Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights
  • Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network, etc.)
  • Communicating complex technical concepts to stakeholders with confidence and integrity
  • Working with business stakeholders to determine metrics for evaluating the models
  • Working with data engineers to create datasets for insight and prediction
  • Building data visualizations, reports, and presentations
  • Rapidly learning and implementing new technologies and tools
  • Provide leadership to help shape our data initiatives across U-Haul
  • Potential to share and teach skills around advanced data analytics and data evaluation
  • Handling a variety of responsibilities under pressure and functioning independently

Relevant tasks:

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
  • Present the results of mathematical modeling and data analysis to management or other end users.
  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
  • Analyze information obtained from management to conceptualize and define operational problems.
  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
  • Prepare management reports defining and evaluating problems and recommending solutions.
  • Define data requirements, gather and validate information, apply judgment and statistical tests.
  • Observe the current system in operation and gather and analyze information about each of the component problems, using a variety of sources.
  • Breakdown systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
  • Educate staff in the use of mathematical models.
  • Specify manipulative or computational methods to be applied to models.
  • Develop and apply time and cost networks to plan, control, and review large projects.
  • Develop business methods and procedures, including accounting systems, file systems, logistics systems, and production schedules.

Qualifications:

  • Master's degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience
  • Proven experience in SQL and Python
  • Proven experience in Power BI and Databricks
  • Proven experience processing and analyzing structured and unstructured data
  • Exposure to and familiarity with common statistical and machine learning techniques.
  • Substantial depth in one or more of the above techniques with past industry projects and/or academic research.
  • The ability to communicate and present both orally and in writing, and comfortability with ambiguity and change
  • High degree of drive, energy, self-confidence, commitment, and flexibility

UHaul Offers:

  • Medical insurance
  • Prescription drug plans
  • Dental & Vision plan with hearing care discounts
  • Onsite medical clinic for team members and eligible family members
  • New indoor fitness gym (Midtown Phoenix campus)
  • Get Fit Gym Reimbursement Program
  • Registered Dietitian Program
  • WeightWatchers
  • CVS Virtual Care
  • UHaul Kids Program
  • 24Hour Nurse Line
  • Wellness Program (Healthier You initiatives & challenges)
  • Mindset App Reimbursement
  • Pet Insurance & Wellness plans
  • Career stability
  • Opportunities for advancement
  • Valuable onthejob training
  • Tuition Reimbursement Program
  • Free online courses for personal and professional development at UHaul University
  • 401(k) Savings Plan
  • Employee Stock Ownership Plan (ESOP)
  • Companypaid life insurance
  • Voluntary life insurance options
  • Short-Term and LongTerm Disability
  • Critical Illness, Accident & Hospital Indemnity plans
  • Business & business travel insurance
  • MetLaw Legal Program
  • MetLife Auto & Home Insurance
  • LifeLock Identity Theft Protection
  • Dave Ramsey's SmartDollar Financial Wellness Program
  • UHaul Federal Credit Union
  • Paid holidays, vacation, and sick time
  • You Matter Employee Assistance Program (EAP)
  • Discounts on cell phone plans, hotels, computers, vehicles & more
  • Community involvement & volunteer opportunities
  • UHaul Mothers Program (Paid maternity leave)

#LI-FT1

U-Haul Holding Company, and its family of companies including U-Haul International, Inc. ("U-Haul"), continually strives to create a culture of health and wellness. Consistent with applicable state law, U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Pennsylvania, Texas, Utah, Vermont, Virginia, and Washington. U-Haul has observed this hiring practice since February 1, 2020 as part of our commitment to a healthy work environment for our team.

U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.


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