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RZR

Cross-channel DSP for growth marketing

Analyst

Performance & Paid MarketingConfirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of hands-on analytics experience.
  • A degree in Mathematics, Statistics, Engineering, Computer Science, or a related analytical field.
  • Foundational proficiency in SQL, Python, or R for data querying and analysis.
  • High attention to detail and a commitment to execution quality.
  • Comfort working in a fast-paced, high-ownership environment.

Responsibilities

  • Own campaign execution 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 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, structured performance updates to managers and Customer Success teams.
  • Proactively communicate campaign health, risks, and pacing changes.
  • Participate in on-call rotations and maintain thorough logs of issues, actions, and handoffs.
  • Support peer analysts by reviewing work, troubleshooting issues, and providing coverage when needed.

Desired Qualifications

  • Prior experience in ad tech, programmatic advertising, or digital marketing.
  • Familiarity with business intelligence or data tools such as ClickHouse, Sisense, or similar platforms.
  • Exposure to campaign management, performance marketing, or mobile advertising.

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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