Data Analyst

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Responsible for content analysis of products, driving the development of the supply and demand ecosystem.
• Diagnose the content production and consumption process, identify related factors, and understand the data trend.
• Define methods for evaluating content quality and establish feedback mechanisms for content production and distribution.
• Analyze user content preferences, optimize content supply strategies, and support personalized operations.
• Analyze content aggregation and distribution scenarios (search recommendations, channels, topics) to improve consumption efficiency.

What We Are Looking For:

• Familiar with gaming and anime culture, with a discerning judgment of gaming user needs and content quality.
• Proficient in using Hive for data cleaning, complex queries; experience in data warehousing is preferred.
• Proficient in Excel and general BI tools; experience with Python/R is preferred.
• Familiar with collaborative tagging processes; understanding of common statistical methods and A/B experimental analysis.
• Structured thinking, proactive exploration, leading analysis projects, and cross-team collaboration abilities.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.