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Product Analytics Intern Jobs in Texas (NOW HIRING)

Zello Inc

Analytics Intern

Austin, TX · On-site

... productivity for desk-less workers. With over 175+ million users, we're the #1 rated push-to-talk ... Turned a handful of small analyses around end to end, from a fuzzy question to a written ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high ...

ConocoPhillips

Intern, Trading Analytics 2027

Houston, TX · On-site

$14.25 - $19/hr

Who We Are We are one of the world's largest independent exploration and production companies ... The Trading Analytics Intern supports ConocoPhillips' Strategy, Analytics & Portfolio Optimization ...

IBM

As an intern, you will work closely with engineering, design, and data science partners to support ... • Use analytics and user feedback to assess product performance. • Apply responsible and ...

IBM

Product Manager Intern 2027

Austin, TX · On-site

As an intern, you will work closely with engineering, design, and data science partners to support ... • Use analytics and user feedback to assess product performance. • Apply responsible and ...

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Product Analytics Intern information

What does a product analytics intern do?

A Product Analytics Intern assists in collecting, analyzing, and interpreting data related to how users interact with a company's products. They work closely with product managers and data analysts to generate insights that can inform product improvements and business decisions. Typical tasks include building dashboards, running A/B tests, preparing reports, and identifying trends in user behavior. This internship is a great opportunity to develop data analysis skills and gain exposure to product development processes in a real-world setting.

What are the key skills and qualifications needed to thrive as a product analytics intern?

To thrive as a Product Analytics Intern, a solid background in statistics, data analysis, and familiarity with business or computer science principles is essential, often accompanied by ongoing university studies in a related field. Proficiency with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Looker is typically required. Strong problem-solving, communication, and attention to detail are standout soft skills in this role. These skills enable effective data-driven insights, clear reporting, and support impactful product decisions within fast-paced teams.

How does a product analytics intern typically collaborate with product managers and engineers during a project?

As a Product Analytics Intern, you will frequently work alongside product managers and engineers to support data-driven decision-making. You'll help define key metrics, analyze user behavior, and present actionable insights that may influence feature development or product direction. Regular communication, participation in sprint meetings, and sharing data visualizations are key parts of this collaboration, ensuring your analyses directly impact product improvements. This cross-functional teamwork provides valuable exposure to both technical and strategic aspects of product development.

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

AspectProduct Analytics InternData Analyst Intern
Required skillsData analysis, SQL, Excel, basic understanding of product metricsData analysis, SQL, Excel, statistical methods
Work environmentTech companies, startups, product teamsVarious industries, business units, finance, marketing
Typical tasksAnalyzing product usage, user behavior, feature impactData cleaning, reporting, trend analysis across departments

The main difference is that a Product Analytics Intern focuses on analyzing product-specific data to improve user experience and product features, while a Data Analyst Intern has a broader scope, working across different business areas to interpret data and support decision-making. Both roles require strong analytical skills and familiarity with SQL and Excel, but the context and focus differ.

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

The most popular types of Product Analytics jobs in Texas are:

What cities in Texas are hiring for Product Analytics Intern jobs?

Cities in Texas with the most Product Analytics Intern job openings:

Product Analytics Intern jobs near you
Infographic showing various Product Analytics Intern job openings in Texas as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

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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