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Analytics Intern Jobs in Texas (NOW HIRING)

Zello Inc

Analytics Intern

Austin, TX · On-site

You'd join the Data & AI team in Austin, reporting to our Head of Analytics, and spend the fall fixing that for the reports and topics people use most. This is real ownership, not shadowing. You'll ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

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How much do analytics intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for analytics intern in Texas is $15.87, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.93 per hour, depending on experience, location, and employer.

What does an analytics intern do?

An Analytics Intern typically assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software to create reports, spot trends, and provide insights. The role may also involve cleaning data, preparing presentations, and supporting senior analysts in various projects. This position is ideal for students or recent graduates looking to gain practical experience in data analytics and business intelligence.

What skills and qualifications are needed to be an analytics intern?

To thrive as an Analytics Intern, you need a strong foundation in quantitative analysis, statistical methods, and proficiency in data interpretation, often supported by coursework in mathematics, statistics, or related fields. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Attention to detail, problem-solving ability, and effective communication are critical soft skills that help convey insights clearly and work well within a team. These skills ensure that analytical tasks are performed accurately and findings can be translated into actionable business strategies.

What types of projects and tasks does an analytics intern typically work on?

As an Analytics Intern, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, conducting exploratory data analysis, creating dashboards or reports, and supporting more senior analysts with ad hoc data requests. Interns often collaborate closely with both technical teams and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds practical analytical skills but also provides exposure to real-world business challenges, making it an excellent learning opportunity. Additionally, interns may present findings to team members or participate in brainstorming sessions, gaining valuable communication and teamwork experience.

What is the difference between Analytics Intern vs Data Analyst?

AspectAnalytics Intern
Required CredentialsTypically pursuing or recent graduate in related field; no extensive experience needed
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firms
Employer & Industry UsageCommonly used in companies seeking entry-level support for data projects
Comparison SummaryThe Analytics Intern role is an entry-level position aimed at students or recent graduates gaining practical experience. In contrast, a Data Analyst typically requires more experience and skills, handling complex data analysis tasks. Internships serve as a stepping stone into the data industry, while Data Analysts are full-time professionals responsible for ongoing data insights and reporting.

What is an analytics intern?

An analytics intern is a temporary position typically held by students or entry-level professionals to support data analysis tasks. They often work with tools like Excel, SQL, or Tableau and assist in collecting, processing, and interpreting data to help organizations make informed decisions.

What are the most commonly searched types of Analytics jobs in Texas?

The most popular types of Analytics jobs in Texas are:

What cities in Texas are hiring for Analytics Intern jobs?

Cities in Texas with the most Analytics Intern job openings:

Analytics Intern jobs near you
Infographic showing various Analytics Intern job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $33,014 per year, or $15.9 per hour.

Analytics Intern

Zello Inc

Austin, TX • On-site

Full-time

Posted 19 days ago

Job description

IMPORTANT: Please be aware, scammers may try to impersonate Zello by reaching out regarding job opportunities. We will never ask you for bank account information, checks, or other sensitive information as part of our hiring process. All correspondence will come from the zello.com email domain. If you're unsure, please email recruiting@zello.com with questions.
About Zello
Zello is a voice-first communication platform, powered by our industry-leading push-to-talk technology, to improve collaboration and productivity for desk-less workers. With over 175+ million users, we're the #1 rated push-to-talk app in the world, delivering 9 billion (yes, with a B) messages a month.
At Zello, our company values are at the heart of what we do everyday. We're proud to serve the frontline, we're privileged to connect people in times of crisis across the globe, and we're honored to support first responders.
And this is where you come in.
Our go-to-market team should be able to answer their own data questions without waiting on us, and right now they can't: dashboards are slow, definitions don't line up, and most numbers still need someone from the data team to explain them. You'd join the Data & AI team in Austin, reporting to our Head of Analytics, and spend the fall fixing that for the reports and topics people use most.
This is real ownership, not shadowing. You'll take named surfaces that other people depend on and make them work, with review and support from the team.
By the end of your internship, you will have
  • Rebuilt three or more of the dashboards our go-to-market team opens every week, so they load fast, use governed definitions, and no longer need someone from the data team standing next to them
  • Shipped and documented a set of Omni topics that a salesperson or Customer Success can answer their own questions from, tested against the questions they actually ask rather than the ones we assumed they'd ask
  • Published an inventory of the analytics surfaces you worked on, each with an owner and a clear keep, consolidate, or retire recommendation
  • Turned a handful of small analyses around end to end, from a fuzzy question to a written recommendation someone acted on
  • Left documentation good enough that the next person picks up your work without booking time with you

What you'll do
  • Rebuild and speed up dashboards in Omni, our BI tool, starting with the ones people complain about most
  • Build Omni topics so non-technical teammates can ask their own questions, then sit with those teammates and watch where the topic falls over
  • Write SQL against Snowflake to pull, check, and reconcile numbers, and read our dbt models to trace where a metric actually comes from
  • Take small analysis requests end to end: scope the question, pull the data, and come back with a recommendation rather than a spreadsheet
  • Document what you build and inventory what already exists, including the honest calls about which reports should be retired
  • Use AI tools, Claude included, to move faster on the routine parts, and check what they hand back before it goes anywhere
  • Show your work in team meetings, and say so when a number looks wrong

Who you are
  • You're currently enrolled in an undergraduate or graduate program, and you can work about 20 hours a week on-site in Austin around your class schedule through early December
  • You write your own SQL against a real database, joins and aggregations included, and you can debug a query that returns something surprising
  • You can explain what a number means to someone non-technical, and trace it back to where it came from
  • You check your own work, so when you hand something over you've already found the errors you were going to find
  • You've taken at least one project past what was assigned, and you can say what changed because you did
  • You write things down, so whoever picks up your work after you doesn't need to book time with you first
  • You already use AI tools for real work, and you verify what they give you instead of trusting it

This role is not
  • An ML or AI research internship. We're not training models here, this is analytics and BI work
  • A data engineering role. Ingestion and pipelines are owned by the team
  • A semester of shadowing. You'll own real surfaces other people depend on, with review, not observation
  • Fully remote. This is hybrid in Austin, and the in-person time is where most of the useful context transfers

We hire for potential, passion for our mission, and a knack for solving difficult problems over checking every qualification box. We have competitive pay, equity with significant upside, and intentionally design our benefits to encourage healthy and well-balanced employees, flexible schedules and time off. We even offer a sabbatical after every five years of service so you're able to pursue and enjoy what matters most to you. And of course, we wouldn't be a technology company without a ping-pong table and free snacks in our break room. Join us!
Zello provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
All Zello personnel are required to comply with defined security, privacy, and compliance requirements applicable to their role along with requirements that are applicable to all Zello personnel.

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