Data Analyst: Growth, Retention & Monetization

NetEase, Inc.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NetEase, Inc. is seeking a data analyst to support growth attribution, retention/LTV modeling, and ad monetization analysis. The role centers on building dashboards and conducting analyses that inform strategic decisions for a global gaming ecosystem.

The candidate will work with SQL, Python/R, and visualization tools to analyze user behavior, optimize campaigns, and evaluate experiments. Fluent English is required, with internship experience or familiarity in gaming welcomed.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics or related fields.
• Proficient in SQL; master Python or R for data processing and analysis
• Familiar with data visualization tools (Tableau / Power BI / Looker)
• Statistical thinking and foundational knowledge of A/B testing concepts
• Fluent English

Responsibilities

• Build and maintain core metric dashboards (DAU / retention / ARPU / CPI / ROAS / LTV)
• Conduct acquisition attribution analysis and channel ROI evaluation to support budget allocation
• Analyze retention funnels and user segmentation; identify churn points and optimization opportunities
• Support A/B experiment design and effectiveness evaluation for version updates and events
• Produce aggregated data briefs to support decision-makers (including aggregated figures compliant with regulatory requirements)

Skills

SQL

Python/R

Data visualization

A/B testing

English fluency

Education

Bachelor’s degree in Data Science, Statistics, CS, Economics or related fields

Tools

Tableau

Power BI

Looker

Job description

NetEase, Inc. is seeking a data analyst to support growth attribution, retention/LTV modeling, and ad monetization analysis. The role centers on building dashboards and conducting analyses that inform strategic decisions for a global gaming ecosystem.

The candidate will work with SQL, Python/R, and visualization tools to analyze user behavior, optimize campaigns, and evaluate experiments. Fluent English is required, with internship experience or familiarity in gaming welcomed.