About this role
Who Are We? RZR is an AI-native advertising platform built for the next era of performance marketing. We operate at the intersection of machine learning, programmatic media, and full-funnel mobile growth, powering campaigns for some of the world's most ambitious advertisers. Our platform is purpose-built to deliver outcomes at scale, not just impressions.
We are a team of builders, operators, and technologists who believe the advertising industry is overdue for a fundamental rethink. We move fast, operate with a high degree of ownership, and hold ourselves to an exceptionally high standard of craft.
RZR is scaling aggressively with an active M&A pipeline and a platform vision that puts us on a path to becoming an industry leader. This is a rare opportunity to join a company at an inflection point and help shape what it becomes.
Role Overview RZR is looking for a BI Intern to join our Analytics and Operations team in China. This is a hands-on internship for someone who wants to learn how a fast-moving ad tech company turns data into decisions — not a program built around observation and busywork.
You'll work directly with senior BI analysts on real production data, building dashboards, writing SQL, and supporting live reporting used by stakeholders across the business. The team works closely with Data Engineering, Machine Learning, and Revenue functions, so you'll get exposure well beyond a typical intern seat.
We're looking for curiosity and potential over polished experience. Strong interns have a clear path to a full-time BI Analyst role at RZR.
Key Responsibilities
Help build and maintain dashboards used by the business Write SQL queries to pull and explore data, with guidance from senior analysts Support ad-hoc data requests and reporting Shadow BI analysts to learn workflows, tools, and stakeholder communication Contribute to data quality checks and reporting health monitoring Document processes and findings clearly Practice clear written communication of data findings to non-technical audiences
Required Skills and Experience
Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field Basic SQL knowledge (SELECT, JOIN, GROUP BY, simple filtering) Comfortable working in Excel Strong curiosity and a genuine willingness to learn Clear written and verbal communication Nice to have: exposure to Power BI, Tableau, or any BI tool through coursework or personal projects Nice to have: basic Python (pandas, scripting) Nice to have: a prior internship in data, analytics, or BI Nice to have: any project demonstrating data analysis (school, Kaggle, personal) Nice to have: interest in ad tech or mobile gaming
Why Join RZR in China?
Work on real production data and real problems from day one — not toy exercises Get direct mentorship from senior analysts, with exposure to our Data Engineering and Machine Learning teams Small team, high visibility: your work is seen by senior stakeholders, not lost in a large org Strong potential for full-time conversion after the internship Learn firsthand how a global ad tech company makes data-driven decisions
RZR Behaviors RZR operates by eight core behaviors: Extreme Ownership · Move Fast · Drive for Excellence · Proactive Communication · Courage · Curiosity · Deliver Results · Manage Ambiguity
RZR is an equal opportunity employer
RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you.
RZR provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.