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Internship Data Analytics Graduate Jobs in Austin, TX

Our internship is a key pipeline into full-time roles in the AEDP - our primary pathway for ... Comfortable working with data and modern analytical tools, including strong Excel skills, and ...

Data & AI Platform Engineer

Austin, TX

$113K - $136K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

New

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

New

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

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Internship Data Analytics Graduate information

See Austin, TX salary details

$11

$22

$41

How much do internship data analytics graduate jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship data analytics graduate in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is an internship data analytics graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during an internship data analytics graduate?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an internship data analytics graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

What is the difference between Internship Data Analytics Graduate vs Data Analyst?

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Austin, TX?

The most popular types of Data Analytics Graduate jobs in Austin, TX are:

What cities near Austin, TX are hiring for Internship Data Analytics Graduate jobs?

Cities near Austin, TX with the most Internship Data Analytics Graduate job openings:

Infographic showing various Internship Data Analytics Graduate job openings in Austin, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Applied Data Analytics - Educational Psychology (Assistant, Associate, or Full Professor)

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 13 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

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Job description

Description
The University of Texas at Austin, Department of Educational Psychology is seeking a tenure-track, open-rank faculty member in the Quantitative Methods program in the area of Applied Data Analytics. The faculty will conduct research related to applied data analytic techniques used to improve educational and health outcomes, such as data mining, predictive modeling, and text analytics. The mission of the Quantitative Methods program is to offer training in modern statistical and psychometric methods to prepare graduates to advance methodological research and to apply these methods to address educational, health, and social science research questions. We are committed to an intellectually diverse, welcoming and engaging working and learning environment and are seeking candidates whose research, teaching and service have prepared them to contribute to serving students and communities across Texas, the country, and the world.
The Department of Educational Psychology has robust graduate programs and is currently ranked #8 among Best Educational Psychology Programs by U.S. News & World Report. The department advances knowledge about the human experience at the intersection of education and psychology through research, teaching, and practice. The department provides an interdisciplinary and contemporary approach to learning and development and seeks to enhance the quality of the human experience through rigorous educational and psychological research, and effective translation of findings to policy and practice.
The College of Education, ranked among the top public colleges of education in the country, has a longstanding commitment to the shared values of equitable opportunities, excellence, innovation, empowerment, community-focus, and endeavors to bridge research and practice. We view creating an inviting, engaged campus community as interconnected with academic excellence in the work of our faculty. The college has experienced a rapid expansion of interest in its academic programs over the past five years. About 30% of our admitted students are first-generation college students and come from all corners of Texas and beyond. Our students are joined by a world-class faculty who are among the nation's leading experts in their respective fields.
As a leading college of education in Texas and beyond, we are agents of change committed to transforming education and health research, practice, and policy to ensure the thriving of children, families, schools and communities. In our efforts to align our college to address the most pressing challenges in the fields of education and health, we launched a strategic vision known as Reimagine Education (see education.utexas.edu/about/college-leadership/deans-office/reimagine-education). In advancing this effort, we have organized our academic and research aspirations around three Signature Impact Areas: Advancing Equity and Eliminating Disparities in Health and Education, Attending to Place and Context, and Thriving through Transitions.
Qualifications
  • Ph.D. in Data Science, Data Analytics, Quantitative Methods, Quantitative Psychology, Statistics, Applied Statistics, or a closely related field earned by July 31, 2026.
  • Strong potential or proven record in scholarly leadership and teaching in Applied Data Analytics, which may include data mining, text analytics (e.g., natural language processing, sentiment analysis, topic modeling), dynamic data analytics (e.g., longitudinal or time-series analysis), social network analysis, and/or data ethics and management.
  • Strong potential or proven record in securing extramural research funding.
  • Experience or capacity to teach and mentor undergraduate and graduate students from a wide range of backgrounds and advance the College's mission.

As a venue for research, Texas is home to more than 10% of the nation's K12 student population. More than 30% of students in Texas speak a home language other than English and this includes more than 100 languages. The University of Texas at Austin is the flagship state university of Texas, and one of the few universities in the U.S. that is both a member of the prestigious Association of American Universities and designated as a Hispanic Serving Institution. UT Austin values and supports interdisciplinary research and, with the opening of the Dell Medical School, provides outstanding access to opportunities for collaboration with world-renowned medical faculty. Austin, Texas is an exciting, welcoming, and inclusive city with the reputation as the Live Music Capital of the World.
Application Instructions
Review of applications will begin October 3, 2025 and will continue until the position is filled. To ensure full consideration, please provide all requested materials by September 29, 2025. Applicants should upload the following items to the Interfolio system: apply.interfolio.com/172695
  • Cover Letter with contact information
  • Full C.V.
  • Research Statement that includes research accomplishments and future research directions
  • Teaching and Mentoring Statement that describes specific methods used to ensure effective student mentoring and a classroom environment that is welcoming, engaging, and supportive of student learning and success
  • Up to three representative publications
  • A list of three references with contact information

For additional information about the department, see https://education.utexas.edu/departments/educational-psychology/.
For questions regarding the application process, please contact Becky Cook (Becky.Cook@austin.utexas.edu). Questions about the positions can be directed to the chair of the search committee: Dr. Hyeon-Ah Kang (hkang@austin.utexas.edu).

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