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RZR

Cross-channel DSP for growth marketing

Analyst

Performance & Paid MarketingConfirmed live in the last 24 hours
Full-timeBeijing, ChinaNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of hands-on analytics experience.
  • Graduate of Mathematics, Statistics, Engineering, Computer Science, or another analytical field.
  • Foundational knowledge and experience using SQL, Python, R, and related data query tools.
  • Able to use English as a working language.

Responsibilities

  • Own campaign execution from end to end, including setup, quality assurance, launch, and ongoing pacing management.
  • Monitor key performance metrics daily, including pacing, fraud rates, creative performance, and delivery health.
  • Respond quickly to system alerts, pacing issues, and Customer Success inquiries within defined service-level agreements.
  • Execute optimizations and testing strategies with support from leads and managers to improve performance and client outcomes.
  • Document all tests and experiments, including setup, methodology, and results, in organized formats.
  • Provide clear and structured performance updates to managers and Customer Success teams.
  • Send proactive communication on campaign health, risks, and pacing changes without waiting for a prompt.
  • Participate in on-call rotations and maintain thorough logs of issues, actions, and handoffs.
  • Support peer analysts and group partners by reviewing work, troubleshooting issues, and providing coverage when needed.

About the Company

RZR

Cross-channel DSP for growth marketing

RZR is a growth marketing intelligence platform that unifies and optimizes advertising campaigns across mobile, retargeting, and Connected TV. Its DSP uses a proprietary neural architecture to analyze billions of signals in real time and predict a user’s lifetime value before bidding, guiding campaigns toward higher-value outcomes like ROAS and long-term retention. The platform emphasizes cross-channel integration and a single connected performance system, powered by global data centers and ML models to scale for brands in gaming, retail, and entertainment. The goal is to help brands increase marketing effectiveness across channels through value-based bidding and attribution.

Company size
51-200
Company stage
Acquired
Total funding
$1.7M
Headquarters
United States
Founded
2010

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