Job Overview
Job description
- Location:
- Beijing, China
- Work arrangement:
- On-site
Role Summary
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.
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
Requirements
- 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
About the Company
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.
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
- Role:
- BI Intern
Company profile

RZR Global Inc.
rzr.comRZR is a machine learning growth marketing company that helps brands acquire, retain and grow customers across mobile user acquisition, retargeting, CTV and influencer campaigns. Its proprietary neural architecture processes billions of signals and evaluates every impression in real time to predict which users will install, engage and drive long-term value, and its Encore platform powers bid decisions across these channels. Built on more than ten years of performance data, the company evolved from mobile-first to multi-channel and operates from seven global offices with a team of AI and ML experts.