Genshin Impact Community Specialist

Summary

The role is for a Genshin Impact Community Specialist at HoYoverse. The specialist will manage and expand the player community ecosystem, act as a bridge between the game and its players, identify key opinion consumers, and conduct data reviews. The ideal candidate should have a bachelor's degree in Communications, Marketing, Computer Science or a related field, proficiency in data analysis, native proficiency in one of several languages, and excellent communication skills.

Requirements

• Bachelor's degree or above, preferably in Communications, Marketing, Computer Science, or a related field
• Deep understanding of games, familiar with in-game ecology and player psychology, and knowledge of the overseas gaming market
• Proficient in data analysis, capable of making reasonable judgments and interpretations based on data
• Strong learning ability, capable of quickly mastering new knowledge and skills
• Native proficiency in one of the following languages and understanding of the gaming culture ecosystem in the respective region: English, Portuguese, Spanish, German, French, Thai, Vietnamese, Indonesian, Russian, Korean, Turkish, Italian
• Excellent communication skills and team spirit

Responsibilities

• Maintain and expand the player community ecosystem
• Manage relations with players and moderators
• Plan and execute topics/content/events strategy based on the core elements of each version
• Act as a bridge between the game and its players, ensuring accurate transmission of product information, correct interpretation of user feedback, enhancing user engagement, and maintaining a positive atmosphere in player-oriented areas
• Participate in identifying core Key Opinion Consumers (KOCs) within the player community
• Analyze player needs according to different modules, actively expand potential user groups, and improve the international user profile database
• Complete activity and special data reviews, including collecting accurate data from external partners, being responsible for data cleaning, and conducting analysis and interpretation of the data