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