Campaign Analytics Analyst - Hybrid SF

RZR; South San Francisco (CA); Hybrid; USD 85,000 - 140,000; Full time

Benefits offered by this job

Medical coverage

401(k) match

Flexible PTO

Meal reimbursements

Wellness perks

Job summary

RZR, an AI-native advertising platform, seeks an Analyst for the Operations Analytics team in San Francisco on a hybrid schedule. You will manage hands-on campaign setup, optimization, pacing, and daily performance across accounts, collaborating with ML, Engineering, and CS to drive measurable client impact.

You will diagnose performance changes using SQL and data analysis, work with ML and engineering on production behavior, and own problems from data to action in a fast-paced environment.

Qualifications

• Degree in Mathematics, Statistics, Engineering, CS or related analytical field.
• 0–2 years analytics experience; ad tech or programmatic experience is a strong plus.
• SQL proficiency with advanced queries (joins, CTEs, aggregations).
• Foundational knowledge of Python, R, or similar data query tools.
• Experience with BI tools such as Tableau or Sisense.

Responsibilities

• Own campaign execution end to end – setup, QA, launch, and ongoing pacing management across assigned accounts.
• Monitor key performance metrics daily, including pacing, fraud rates, creative performance, and delivery health.
• Respond quickly to system alerts, pacing issues, and CS inquiries within SLAs.
• Execute optimizations and testing strategies with leads and managers to improve performance and outcomes.
• Document tests and experiments with setup, methodology, and results in organized formats.
• Provide clear, structured performance updates to managers and CS teams.

Skills

SQL

Python/R basics

BI tools

Data analysis

Attention to detail

Fast-paced environment

Education

Degree in Mathematics/Statistics/Engineering/CS

Tools

Tableau

Sisense

ClickHouse

Job description

RZR, an AI-native advertising platform, seeks an Analyst for the Operations Analytics team in San Francisco on a hybrid schedule. You will manage hands-on campaign setup, optimization, pacing, and daily performance across accounts, collaborating with ML, Engineering, and CS to drive measurable client impact.

You will diagnose performance changes using SQL and data analysis, work with ML and engineering on production behavior, and own problems from data to action in a fast-paced environment.