Analytics Intern

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 View email address on click.appcast.io 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 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 have competitive pay equity with significant upside intentionally design our benefits to encourage healthy and well-balanced employees, flexible schedules and time off a sabbatical after every five years of service ping-pong table and free snacks 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. #J-18808-Ljbffr Zello