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Internship Seismic Data Processing Geophysicist Jobs in Dallas, TX

Understanding of data warehousing concepts and ETL processes. * Prior internship or work experience in a data analysis or business intelligence role. * Knowledge of business operations and key ...

Understanding of data warehousing concepts and ETL processes. * Prior internship or work experience in a data analysis or business intelligence role. * Knowledge of business operations and key ...

Analyze and interpret geological data to guide drilling operations and make real-time decisions ... Degree in Geology or Geophysics preferred; current student applicants' graduation dates May 2024 ...

Analyze and interpret geological data to guide drilling operations and make real-time decisions ... Degree in Geology or Geophysics preferred; current student applicants' graduation dates May 2024 ...

We are seeking talented and driven individuals to join our internship program as a Data Science ... Help document methodologies, findings, and technical processes for internal and external ...

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Internship Seismic Data Processing Geophysicist information

See Dallas, TX salary details

$48K

$94.4K

$142.4K

How much do internship seismic data processing geophysicist jobs pay per year?

As of May 28, 2026, the average yearly pay for internship seismic data processing geophysicist in Dallas, TX is $94,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $110,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Seismic Data Processing Geophysicist, and why are they important?

To thrive as an Internship Seismic Data Processing Geophysicist, you need a solid background in geophysics or a related field, strong analytical abilities, and foundational knowledge of seismic data principles. Familiarity with industry-standard seismic processing software (such as ProMAX, Petrel, or SeisSpace) and basic programming skills in languages like Python or MATLAB are highly beneficial. Attention to detail, problem-solving aptitude, and effective communication are essential soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate seismic analysis and contribute to successful exploration and development projects within the geoscience industry.

What types of projects and responsibilities can I expect as an Internship Seismic Data Processing Geophysicist?

As an Internship Seismic Data Processing Geophysicist, you will typically work alongside experienced geophysicists to process and analyze seismic data collected from field surveys. Your responsibilities may include using specialized software to clean, filter, and interpret raw seismic signals, assisting with quality control, and generating preliminary subsurface images. You’ll often participate in team meetings to discuss project progress and may be asked to present your findings. This role offers valuable hands-on experience in seismic workflows and provides opportunities to learn about current industry technologies and practices.

What does an Internship Seismic Data Processing Geophysicist do?

An Internship Seismic Data Processing Geophysicist assists in analyzing and interpreting seismic data collected from geophysical surveys, primarily for oil, gas, and mineral exploration. Interns learn to use specialized software to process raw seismic signals and help convert them into subsurface images that geoscientists use to identify rock layers and potential resource locations. They often work as part of a team, supporting senior geophysicists by preparing data, generating reports, and troubleshooting data quality issues while gaining practical experience in geophysical methods and data analysis.

What is the difference between Internship Seismic Data Processing Geophysicist vs Seismic Data Processing Geophysicist?

AspectInternship Seismic Data Processing GeophysicistSeismic Data Processing Geophysicist
CredentialsTypically pursuing or recent graduate in geophysics or related fieldBachelor's or master's degree in geophysics or geology, with relevant certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, independent project work
Employer & IndustryOil & gas companies, geophysical service firms, research institutionsOil & gas companies, seismic service providers, consulting firms

The main difference between an Internship Seismic Data Processing Geophysicist and a Seismic Data Processing Geophysicist lies in experience level and responsibilities. Interns are in training, gaining foundational skills, while full professionals handle complex data processing tasks independently. Both roles are essential in the industry, with internships serving as stepping stones to full employment.

What are the most commonly searched types of Seismic Data Processing Geophysicist jobs in Dallas, TX? The most popular types of Seismic Data Processing Geophysicist jobs in Dallas, TX are:
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What cities near Dallas, TX are hiring for Internship Seismic Data Processing Geophysicist jobs? Cities near Dallas, TX with the most Internship Seismic Data Processing Geophysicist job openings:
Infographic showing various Internship Seismic Data Processing Geophysicist job openings in Dallas, TX as of May 2026, with employment types broken down into 23% Internship, 69% Full Time, and 8% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $94,384 per year, or $45.4 per hour.

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Job description

About the Role:
As a Data Analyst I, you will play a crucial role in transforming raw data into meaningful insights that drive informed business decisions. You will be responsible for collecting, processing, and performing basic analyses on data sets to identify trends, patterns, and anomalies. Your work will support various departments by providing accurate and timely reports that enhance operational efficiency and strategic planning. Collaborating with cross-functional teams, you will help translate complex data into clear, actionable recommendations. This entry-level position offers an excellent opportunity to develop your analytical skills and contribute to the organization's data-driven culture.
Minimum Qualifications:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in Microsoft Excel for data manipulation and analysis.
  • Basic knowledge of SQL for querying databases.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective communication skills to present data findings clearly.
Preferred Qualifications:
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Familiarity with statistical programming languages like Python or R.
  • Understanding of data warehousing concepts and ETL processes.
  • Prior internship or work experience in a data analysis or business intelligence role.
  • Knowledge of business operations and key performance indicators relevant to the industry.
Responsibilities:
  • Collect, clean, and validate data from multiple sources to ensure accuracy and completeness.
  • Perform exploratory data analysis to identify trends, patterns, and outliers.
  • Create and maintain dashboards and reports to communicate findings to stakeholders.
  • Assist in developing data models and visualizations to support business objectives.
  • Collaborate with team members and departments to understand data needs and deliver actionable insights.
  • Document data processes and maintain data integrity throughout the analysis lifecycle.
  • Support ad hoc data requests and contribute to continuous improvement of data analysis methodologies.

Skills:
In this role, you will use your proficiency in Excel and SQL daily to extract, clean, and analyze data sets, ensuring the accuracy and relevance of information. Your analytical skills will enable you to identify meaningful trends and patterns that inform business strategies. Communication skills are essential as you will regularly present your findings through reports and visualizations to both technical and non-technical stakeholders. Familiarity with data visualization tools and programming languages like Python or R will enhance your ability to create compelling, interactive dashboards and automate repetitive tasks. Additionally, your collaborative approach will help you work effectively with various teams to understand their data needs and deliver actionable insights that support organizational goals.