Data Analyst - VNGGames

1. Data platform access and maintenance

• Independently complete SDK access, buried design and data verification of third-party data analysis platforms such as Thinking Analytics to ensure the integrity and accuracy of data collection.
• Maintain data link stability, optimize data reporting logic, and solve data anomalies.

2. Game operation Kanban construction

• Based on Tableau, Power BI or Digital platform, build game operation data visualization dashboards to monitor core indicators (e.g. DAU, retention rate, payment rate, ARPU, etc.) in real time.
• Design and iterate data dashboards to meet the multi-dimensional analysis needs of product, operation, marketing and other teams.

3. Operational data analysis and report output

• Regularly output game operation data analysis reports, including user behavior analysis, payment behavior research, activity effect evaluation, version iteration effect tracking, etc., and put forward data-driven optimization suggestions.
• Conduct Root Cause Analysis for abnormal data fluctuations and provide emergency solutions.

4. Data-driven decision support

• Assist in the development of game operation strategies, verify assumptions through A/B testing, user segmentation, funnel analysis, etc., and optimize user growth, retention and commercialization models.

• Provide data support for version update, activity design, advertisement placement, etc.

5. Cross-departmental collaboration and data governance

• Work closely with R&D, operations, marketing and other teams to drive data requirements to the ground and ensure that data burial points are aligned with business objectives.
• Establish data governance standards to ensure the consistency of data caliber and improve the efficiency of the team's data usage.

6. Industry and Competitive Analysis

• Monitor industry dynamics and competitive data performance, output market trend analysis report, provide reference for product iteration and strategic adjustment.

1. Educational Background:

• Bachelor degree or above in Statistics, Mathematics, Computer Science, Economics and other related majors.

2.Work Experience:

• More than 2 years of data analysis experience in game industry, familiar with handheld game life cycle management, hands-on experience in counting platform is preferred.
• Have complete data analysis project cases (e.g. the whole process from buried point design to report output).

3.Skill Requirements:

• Proficient in SQL, skilled in using Python/R for data cleaning, modeling and analysis.
• Proficient in using visualization tools such as Tableau, Power BI, etc., and mastering SDK access and Kanban board building for counting platform.
• Familiar with common data analysis methods (e.g. LTV prediction, user stratification, attribution analysis, etc.).

4.Core Competencies:

• Clear logic, able to independently disassemble complex problems and output landable solutions.
• Excellent cross-departmental communication skills, able to translate data analysis conclusions into business language.
• Passionate about the game industry, familiar with mainstream game categories and player behavior characteristics.