Responsibilities:
Analyze Firebase Analytics and Google Analytics 4 (GA4) data.
Monitor mobile app performance and user engagement metrics.
Analyze AdMob revenue and advertising performance.
Track and optimize eCPM, CTR, Fill Rate, Match Rate, and other ad metrics.
Monitor DAU, WAU, and MAU trends.
Perform retention analysis (D1, D7, D30) and identify improvement prospects.
Conduct cohort analysis to understand user behavior over time.
Calculate and analyze ARPU and ARPPU.
Perform funnel analysis to identify user drop-off points.
Compare and analyze In-App Purchase (IAP) revenue vs Advertisement revenue.
Measure Marketing Spend vs Revenue and evaluate ROAS.
Analyze A/B test results and recommend improvements.
Identify root causes behind changes in revenue, retention, or user engagement.
Create dashboards, reports, and visualizations for management.
Work closely with Product, Marketing, and Development teams to support data-driven decisions.

Skills Required:
Firebase Analytics




Google Analytics 4 (GA4)
AdMob Analytics
eCPM, CTR, Fill Rate, Match Rate
DAU, WAU, MAU
Retention Analysis (D1, D7, D30)
ARPU & ARPPU
Cohort Analysis
Funnel Analysis
IAP vs Ads Revenue Analysis
Marketing Spend vs Revenue
ROAS Analysis
A/B Test Analysis
Root Cause Analysis
Microsoft Excel / Google Sheets
SQL (Basic to Intermediate)
Power BI or Looker Studio (Preferred)
Solid analytical and problem-solving skills
Data visualization and reporting
Experience using AI tools such as ChatGPT, Claude, Gemini, or similar AI assistants.
Ability to use AI for data analysis, insight generation, and report creation.
Robust prompt writing skills for analytics and business reporting.
Use AI to identify trends, anomalies, and actionable recommendations.
Leverage AI to automate repetitive reporting and analysis tasks.

📌 Ai Data Analyst Surat
🏢 Vasundhara Infotech
📍 Surat