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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 ...

Data Analyst (Statewide)

Austin, TX ยท On-site

$4.8K/mo

Work involves conducting detailed analysis of, and extensive research on, data and providing ... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH ...

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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 1, 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.

Technology 2027 Intern - Data Engineering

Austin, TX โ€ข On-site

Full-time, Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Your opportunity

At Schwab, youโ€™re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Data Engineering Intern

Students interested in data engineering and analytics - apply to this role. Interns work alongside data professionals to support enterprise data platforms, data pipelines, data integration, and analytical solutions that drive business decisions. Participants gain exposure to designing scalable data solutions, data ingestion frameworks, and modern data engineering practices.

Data Engineering roles available in this track:

Data & Analytics

Data Scientist

Data Engineering / Business Intelligence

Data Protection & Attack Surface Management

AI Security

What you have

Required Qualifications

  • Currently enrolled in a bachelor's degree program and entering junior-level standing by internship start date.
  • Have not completed your bachelor's degree prior to the internship.
  • Able to commit to 40 hours per week during the 9-week Summer 2027 internship program.
  • Able to begin full-time employment between August 2027 and September 2028.
  • Authorized to work in the United States on a full-time basis without employer sponsorship.
  • Willing to relocate at personal expense if required.

Preferred Qualifications

  • Computer Science, Management Information Systems, or related discipline
  • Familiarity with programming concepts, databases, data science and data technologies
  • Interest in data analysis, data movement, ETL processes, and scalable data architecture

#campus


Whatโ€™s in it for you

At Schwab, youโ€™re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaborationโ€”so you can build the skills to make a lasting impact.