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Niche mobile ad analytics skills and lesser-known employer reduce applicant competition.
Strong domain bias toward mobile-app monetization and ad analytics limits transferability.
Specific mobile ad analytics tools and SQL required, no explicit years.
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Analyze and monitor mobile app user engagement, revenue metrics, and advertising performance using Firebase Analytics, GA4, and AdMob data.
Perform retention, cohort, funnel, and A/B test analyses to identify opportunities and root causes affecting revenue and user behavior.
Create dashboards and reports to support data-driven decisions by collaborating with Product, Marketing, and Development teams using AI tools to enhance analysis and reporting.
Proficiency in Firebase Analytics, Google Analytics 4 (GA4), and AdMob data analysis.
Experience with metrics including eCPM, CTR, Fill Rate, DAU/WAU/MAU, retention analysis, ARPU/ARPPU, and ROAS.
Basic to intermediate SQL skills and experience with data visualization tools like Power BI or Looker Studio (preferred).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in mobile app analytics and advertising revenue performance measurement.
Skilled in leveraging AI tools for advanced data analysis, insight generation, and automation of reporting tasks.
Comfortable working cross-functionally with product, marketing, and development teams to drive impact through data-driven insights.