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Graduate Assistant Data Analyst Jobs in Wichita Falls, TX

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Graduate Assistant Data Analyst information

See Wichita Falls, TX salary details

$27.3K

$69.8K

$133.4K

How much do graduate assistant data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for graduate assistant data analyst in Wichita Falls, TX is $69,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $81,300.00 per year, depending on experience, location, and employer.

What is a graduate assistant data analyst?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What types of projects and tasks does a graduate assistant data analyst work on?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.

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

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What cities near Wichita Falls, TX are hiring for Graduate Assistant Data Analyst jobs?

Cities near Wichita Falls, TX with the most Graduate Assistant Data Analyst job openings:

Graduate Assistant Data Analyst jobs near you
Infographic showing various Graduate Assistant Data Analyst job openings in Wichita Falls, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,764 per year, or $33.5 per hour.

Data Scientist (Statistician) - Direct Hire

Wichita Falls, TX • On-site

Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees

7.5

Company rating: 7.5 out of 10

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Learn more about Criminal Investigation & Law Enforcement | IRS Careersexternal

$125K/yr

Full-time

Posted 3 days ago

New

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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