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Salary
≈ $55k – $105k per year (Estimated)
Location
In office (Houston)
Seniority
Junior · 2+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 8, 2026. INSPYR Solutions scores B on the Alion truth index.

Overview
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Headquartered in Fort Lauderdale, Florida, INSPYR Solutions is a leading national technology solutions and IT staffing provider in the United States. The company delivers specialized consulting, professional technology services, and strategic talent placement to help client organizations achieve their business objectives. Through its expansive network across the country, the firm connects businesses with top-tier technical talent across a wide range of specialties and emerging technology sectors.
Role: Drilling Data Analyst

Location: Houston, TX 77040

Duration: 6-12 Month Contract

Work Authorization: US Citizen, Green Card, or Authorized to Work in the US

NOTE: This is an onsite position

Description:

The Data Science and Analytics team is a growing group of energetic, passionate individuals working to improve and inform the organization through data. We work primarily with the drilling automation team to help design, evaluate, and improve novel drilling automation technology.

Some example projects that we are applying analytics and data science to include:

  • Modeling greenhouse gas emissions from the rig fleet to reduce environmental impact and improve reporting
  • Generate analyses over drilling advisory systems to improve drilling efficiency and product utilization
  • Developing automated monitoring, detection, and alerting of operational events

The Drilling Data Analyst will help build next-generation drilling systems by:

  • Analyzing data to forward our understanding of various drilling phenomena
  • Creating and automating insightful reports that support commercialization and utilization
  • Providing quality control checks against new and existing products
  • Working directly with the product development team to understand key needs

The candidate will be involved in all aspects of the project life cycle, including working directly with stakeholders, cleaning and analyzing data, generating and presenting visuals and reports, and providing quality control and support of commercial products. The ideal candidate would be a collaborator, possess advanced data analytics skills, be expert in working with large data sets in Python, and be able to communicate clearly with numerous stakeholders. This role is designed for early career candidates with an emphasis on training and development and performs under the general direction of a Lead Data Scientist.

Detailed Description:

  • Execute in parallel multiple analytics projects of varying complexity and data sources (~1 week to ~3 months)
  • Quickly learn aspects of the drilling process and equipment to efficiently derive insights from our data
  • Independently manage and execute above projects from start-to-finish, including understanding stakeholder needs; acquiring necessary data; cleaning / analyzing data and innovating beyond initial requirements; generating visuals / reports; and presenting results to stakeholders
  • Provide quality control and sustainment work to existing products by finding and addressing issues

Job Requirements

  • Able to quickly learn the details of oil and gas drilling to better analyze our data
  • Able to analyze data efficiently and accurately by utilizing Python and Power BI
  • Able to work both independently and as part of a team, managing multiple tasks and projects simultaneously to meet challenging deadlines
  • Able to visit operating rigs on short-duration trips to become familiar will drilling operations
  • Able to think strategically and translate concepts into action plans and track results
  • Comfortable explaining complex analytics concepts and results to end-users
  • Excellent verbal and written English language communication

Minimum Qualifications

  • A bachelor's degree in engineering, physics or related field
  • 2 years of experience with Python for data analysis (such as Jupyter Notebooks, Pandas, Matplotlib)
  • 2 years of experience using Power BI for data visualization
  • 2 years of experience using SQL for data extractions

Preferred Qualifications

  • A master's degree in engineering, Physics, or related field
  • 2 years of experience in the oil and gas industry
  • 1 year of experience working in cross-functional roles and communicating directly with product users, customers, or other stakeholders

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact [email protected] for assistance.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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