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Data Assistant Jobs in Georgetown, TX (NOW HIRING)

Biological Technician

Austin, TX · On-site

$37K - $46K/yr

Operate electronic data acquisition systems for fisheries and oceanographic sampling. * Assist with deployment, calibration, and maintenance of survey gear, acoustics, and optical/video equipment.

Data Analyst

Austin, TX · On-site

$75K/yr

Collaborate with cross-functional teams to understand data needs and reporting requirements * Assist with the development of business requirements and specifications for data projects * Monitor ...

Data Analyst

Austin, TX · On-site

$75K/yr

Collaborate with cross-functional teams to understand data needs and reporting requirements * Assist with the development of business requirements and specifications for data projects * Monitor ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

... -Assist in developing methods for mitigating data issues and deploy those methods to correct issues. -Assist in preparing technical reports to present and interpret data, identify alternatives, and ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

... -Assist in developing methods for mitigating data issues and deploy those methods to correct issues. -Assist in preparing technical reports to present and interpret data, identify alternatives, and ...

Create, maintain, and distribute assigned department reporting * Assist in reconciliation of data loads into relational and dimensional databases * Review department reports for accuracy prior to ...

Showing results 21-40

Data Assistant information

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.

What are the most commonly searched types of Data jobs in Georgetown, TX?

The most popular types of Data jobs in Georgetown, TX are:

What job categories do people searching Data Assistant jobs in Georgetown, TX look for?

The top searched job categories for Data Assistant jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Data Assistant jobs?

Cities near Georgetown, TX with the most Data Assistant job openings:

Infographic showing various Data Assistant job openings in Georgetown, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 9% Part Time, and 11% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data & Insights Graduate Research Assistant

The University of Texas at Austin

Austin, TX • On-site

$16.50 - $22/hr

Part-time

Posted 21 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities


Job description

Job Posting Title:
Data & Insights Graduate Research Assistant
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Hiring Department:
Graduate School
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
20
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Aug 16, 2026
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Position Duration:
Expected to Continue Until Aug 15, 2027
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Location:
UT MAIN CAMPUS
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Job Details:
General Notes
Selection is made by committee and hiring supervisor based on review of applications and results of personal interviews. Hiring decision is contingent upon applicant clearing a security background check. Must be eligible to work in the United States on a full-time basis for any employer without sponsorship. Work schedule will be determined through conversation with supervisor. This position will end May 15, 2027, with the possibility of extension through the summer. The Data & Insights GRA will need to be available during the working office hours of the Graduate Office of Career & Life Design.
Purpose
The Graduate Office of Career & Life Design (OCLD) supports graduate students and postdoctoral scholars in developing the skills, experiences, and materials they need to thrive across academic and professional pathways. The Data & Insights GRA will strengthen OCLD's capacity to understand program impact, improve services, and communicate evidence-based insights across initiatives. Working as a data-minded collaborator and resource developer, the GRA will work with the OCLD team to support assessment strategy, data collection, analysis, reporting, and the development of sustainable data systems for programs, events, advising, and experiential learning initiatives. A key responsibility will be creating a database and building a reporting dashboard. Because Teaching and Academic Development is a new area within OCLD, the GRA will have the opportunity to design and implement a study exploring the relationship between teaching development and graduate student career development in preparation for careers in academia and beyond.
Responsibilities
  • Data Infrastructure & Systems Development:: Help design, organize, and maintain sustainable data systems that bring programmatic information together in accessible and useful ways, including a centralized database for all OCLD programs.
  • Assessment Design & Data Collection: Design and implement program evaluation processes, surveys, feedback forms, and other data collection tools for events, advising sessions, experiential learning programs, and related OCLD initiatives to assess learning outcomes, establish meaningful feedback loops, and support evidence-based decision-making.
  • Data Analysis & Interpretation: Clean and analyze qualitative and quantitative data to identify patterns, trends, needs, and opportunities for program improvement.
  • Reporting & Data Storytelling: Create reports, Tableau dashboards, summaries, and visualizations that communicate findings clearly to internal and external stakeholders.
  • Research: Conduct literature reviews; manage data collection, analysis, and reporting for ongoing IRB studies; help design and implement a new study on the integration of teaching development into broader academic career development; and prepare IRB applications, protocols, and related documentation as needed.
  • Team Training & Data Quality: Develop documentation, guidance, and training materials to help OCLD staff use new data systems consistently and maintain shared data quality practices over time.

What We're Looking For
Master's or PhD students enrolled in at least 9 credit hours; in good academic standing with advisor approval We welcome applicants from all disciplines and backgrounds. Strong candidates will bring:
Required Qualifications
  • Proficiency with Excel and survey software such as Qualtrics or Microsoft Forms.
  • Experience with quantitative data analysis and relevant tools such as R, Python, SPSS, SAS, or similar platforms.
  • Experience creating or maintaining databases, dashboards, or other data infrastructure.
  • Experience using data visualization platforms such as Tableau and Power BI
  • Ability to manage, clean, organize, and synthesize datasets from multiple sources.
  • Exceptional attention to detail and a strong commitment to data integrity.
  • Strong written and verbal communication skills, especially for communicating findings to varied audiences.
  • Ability to work independently, manage time effectively, and meet deadlines within a 20-hour/week appointment.
  • Collaborative orientation and interest in supporting evidence-based decision-making in higher education.

Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
  • Background in program evaluation, educational research, assessment, institutional research, learning analytics, or related fields.
  • Experience with research design and IRB preparation.
  • Experience with qualitative analysis tools (NVivo, ATLAS.ti, or Dedoose) and methods (coding, memoing, or thematic analysis).
  • Experience translating technical or data-related processes into clear documentation, training, or guidance for non-technical audiences.
  • Interest in career development, higher education, graduate education, postdoctoral scholar support, teaching development, or student success.

Salary Range
$2,167/month
Working Conditions
  • Hybrid; minimum of 10 hours per week in the office
  • 20 hours per week
  • Expected to start as soon as possible, no later than September 1

Benefits of Joining Our Team:
  • Expand your network by meeting alumni and professionals in various industries.
  • Work with a team of advanced degree-focused professionals invested in your professional development.
  • Enhance your teaching, writing, communication, presentation, administrative, and project management skills.
  • Flexible work arrangement (50% in office).

How to Apply
To apply, submit your application through Workday. You will be asked to complete a short set of application questions and upload a current resume. Applications are reviewed on a rolling basis.
Questions? Contact Dr. Michelle Gaston at michelle.gaston@austin.utexas.edu.
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Please confirm your eligibility for this position here: http://www.utexas.edu/hr/student/student_acad_employment.html
Retirement Plan Eligibility:
Students in this position may choose to enroll in the UTSaver voluntary retirement programs.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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