SG Campus Recruitment - Data Analyst

NetEase Games; Singapore; Presencial; SGD 90.000 - 130.000; Jornada completa

Descripción de la vacante

NetEase, Inc. is seeking a data analytics professional to support growth attribution, retention/LTV modeling, and ad monetization analysis. You will build dashboards and analyze acquisition channels to guide budgets and product decisions.

You will collaborate with cross-regional teams, leveraging SQL and Python/R for data processing, while applying statistics and A/B testing to measure campaign and product impact.

Formación

• Bachelor’s degree in data science, statistics, CS, economics or related field.
• Strong SQL and Python or R for data analysis.
• Experience with data visualization tools (Tableau/Power BI/Looker).
• Fluency in English and Chinese (written and spoken).

Responsabilidades

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

Conocimientos

SQL

Python

R

AB Testing

Statistics

Bilingual English/Chinese

Educación

Bachelor's degree or above in data-related field

Herramientas

Tableau

Power BI

Looker

Descripción del empleo

About Company：

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit: http://ir.netease.com/

Position Overview：

Support acquisition and operations decisions with data; responsible for growth attribution, retention / LTV modeling and ad monetization analysis. The analytical core for single-product data review.

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)

Requirements:

• Bachelor's degree or above in Data Science, Statistics, Computer Science, Mathematics, 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, etc.)
• Statistical thinking and foundational knowledge of A/B testing concepts
• Fully bilingual and fluent in both English and Chinese (written and spoken) to seamlessly integrate and collaborate with cross-regional and fast-moving teams

Preferred Qualifications:

• Internship experience in data analysis / growth / the gaming industry
• Understanding of mobile ad attribution (MMP: AppsFlyer / Adjust, etc.)
• Understanding of game economy systems and monetization models

Fair Employment Practices

At NetEase, we are committed to fair employment practices. We welcome applications from all individuals, irrespective of age, gender, race, religion, marital status and family responsibilities, or disability.