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Internship Data Analytics Graduate Jobs in Austin, TX

... analytics needs. -Interpret results to identify significant differences in data. -Assist in ... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH ...

... graduate program, and you can work about 20 hours a week on-site in Austin around your class ... research internship. We're not training models here, this is analytics and BI work * A data ...

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 ...

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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 Aug 9, 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 8% Internship, 68% Full Time, 16% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% In-person, 5% Hybrid, and 8% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

ENV Data Analytics Specialist I - Environmental Division

Texas Department of Transportation

Austin, TX • On-site

Full-time

Posted 17 days ago


Texas Department Of Transportation rating

8.9

Company rating: 8.9 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

121st of 844 rated public administrative organizations


Job description

Performs complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Monitors and supports measures to ensure data quality for environmental strategic planning and performance management activities. Responsible for collecting, analyzing, organizing, and standardizing data reported for agency environmental performance/programs. Works under general supervision, with moderate latitude for the use of initiative and independent judgment.

Essential Duties:

  • Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and
    relationships within data.
  • Identifies and interprets data patterns and trends and assesses data quality.
  • Assists in the selection of data visualization tools, the development of standards, usage guidelines, and procedures for
    those tools.
  • Identifies potential project or program impediments, risks, and issues based on data analytics.
  • Collects, organizes, and analyzes data for environmental programs and reporting.
  • Enters, reviews, validates, and maintains a system/database.
  • Collaborates on process flow mapping efforts of the environmental phase and distilling down researched information to
    each process step.
  • Consults with program analysts, program staff, and Subject Matter Experts to understand the business requirements that
    drive the collection and analysis data standards. 
  • Performs other job responsibilities as assigned.
     

Minimum Qualifications:

Education: Bachelor's Degree in any discipline. Relevant work experience may be substituted for degree on a year per year basis. Substitutions for Minimum Qualifications

Experience:  2 years of experience in data analysis, research, compilation, report writing, and design work experience. (Experience can be satisfied by full time or prorated part time equivalent). Related graduate level education may be substituted for experience on a year per year basis.

Competencies:

Considerable knowledge of

  • Business processes and methodologies, data import and export protocols

Report writing and design methodologies
Some knowledge of

  • Designing complex graphic materials using graphic software, applications and/or traditional methods
  • Technical requirement analysis, business process modeling/mapping, methodology development and data modeling
  • Planning, coordinating and handling multiple projects within area of responsibility to meet short and long-term deadlines
  • Developing and presenting reports in multiple formats

Proficient skill in

  • Communicating complex ideas and information clearly, concisely, and effectively
  • Using Microsoft Office Suite including (Word, Excel, Outlook, PowerPoint) and experience using SharePoint, Tableau or
    related data analytical platforms

Some skill in

  • Analyzing issues, facts, and available information to develop logical solutions; researching inconsistencies of facts or
    data; drawing correct inferences from information and making recommendations that support business decisions

Ability to

  • Maintain accuracy and attention to detail
  • Analyze data and derive informative conclusions.
  • Evaluate and make recommendations regarding data integrity.
    Effectively organize and prioritize work demands in a fast-paced environment

Other Attributes

  • Shows initiative and action beyond what is required to improve products or services; is self-starting and completes
    assignments independently without constant supervision 

Physical Requirements and Working Conditions:

  • Sedentary work: Lift up to 10 lbs at a time and occasionally carry files/small tools
  • Sitting - prolonged periods of time
  • Fingering-picking, pinching, typing; working primarily with fingers rather than whole hand
  • Repetitive Motion-substantial movements of the wrists, hands, and/or fingers
  • Close Visual Acuity-work includes data/figures; view a computer screen; extensive reading
     

Conditions of Employment:

Please click this link to read the standard conditions of employment for all positions: Standard Conditions of Employment (TxDOT)


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