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 opportunities.

- 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)

- Strong 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