1

Data Analysis Internship Jobs in Austin, TX (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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

next page

Showing results 1-20

Data Analysis Internship information

See Austin, TX salary details

$11

$22

$41

How much do data analysis internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analysis internship 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 a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

What is the difference between Data Analysis Internship vs Data Analyst?

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

Is a data analysis internship worth it?

A data analysis internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can improve employability, build a professional network, and often leads to full-time opportunities in data-related roles. The value depends on the internship's quality and how well it aligns with career goals.

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

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

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

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

Infographic showing various Data Analysis Internship job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

(SPRING) Data Analyst Intern

Integra FEC - Internships

Austin, TX โ€ข On-site

Internship

Posted 4 days ago


Job description

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applicationsย ย to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent.ย ย 

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:ย ย 

  • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industryย ย 
  • Opportunities to work on team-based and individual projectsย ย 
  • Visibility to industry expertsย ย 

Job Qualifications:ย ย 

  • Familiarity with R, SQL, Python, or other scripting languages
  • Proficiency in Microsoft Excel
  • Attention to detail with big-picture understanding
  • Ability to work well in teams
  • Highest ethical standards
  • All education levels (Bachelor's, Master's, or Ph.D.) welcome

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.