Analyst - PH

About RZR Global

RZR Global is a leading AI-driven mobile DSP that turns ad budgets into predictable, scalable growth. We power programmatic campaigns with supervised-AI bidding, real-time creative optimization, and full-funnel performance—serving 5 million bid requests per second across 10 billion devices. Our marketing team is lean, scrappy, and growth-obsessed. We’re looking for a content marketing powerhouse who can plan, create, and optimize content that ranks, engages, and converts.

Role Overview

As an Analyst at RZR Global, you will be a core executor responsible for hands-on campaign setup, optimization, pacing, and daily performance management across assigned accounts. You will own the accuracy, health, and outcomes of your campaigns, working closely with leads and cross-functional partners to drive measurable client impact.

This role is perfect for someone who is detail-oriented, data-driven, and thrives in a fast-paced environment where accountability, speed, and clear communication matter.

Key Responsibilities

Own campaign execution from end to end including setup, QA, 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 SLAs

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

Required Skills / Experience

At least 2 years of hands-on analytics experience (required)

Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field.

Comfortable in a fast-paced startup environment.

Foundational knowledge and experience using SQL, Python, R, and related data query tools.

High attention to detail and pride in execution quality