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Data Analytics Intern Jobs in Georgetown, TX (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 ...

IntegraFEC

(FALL) Research Analyst Intern

Austin, TX · On-site

Integra Med Analytics is looking for a research analyst to partner with quantitative analysts to ... Gathering of publicly available data and information * Compiling and summarizing research * Other ...

Reli Group Inc

Power BI Intern

Austin, TX · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

FTI Consulting

2027 Intern - Technology

Austin, TX · On-site

$14.75 - $19.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

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Data Analytics Intern information

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How much do data analytics intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics intern in Georgetown, TX is $20.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.79 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a data analytics intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

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

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

What job categories do people searching Data Analytics Intern jobs in Georgetown, TX look for?

The top searched job categories for Data Analytics Intern jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Data Analytics Intern jobs?

Cities near Georgetown, TX with the most Data Analytics Intern job openings:

Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,491 per year, or $20.9 per hour.

Analytics Intern

Zello Inc

Austin, TX • On-site

Full-time

Posted 23 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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