Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
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Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
CapcomThis job posting was originally in Japanese. The English version is automatically translated. Please visit the company site for the most accurate information.
At Capcom, we analyze various data to enhance user experience and contribute to profits for consumer games, and our department consistently conducts data analysis from development to post-release across numerous titles. For games in development, we collect data from playtests and work on improving game balance and debugging while visualizing the data in an understandable way to enhance user experience. Since there are frequent specification changes in games under development, flexible and adaptable data processing is required in addition to obtaining highly detailed data that is useful for developers. For games after release, we collect data from actual user play and visualize user play trends from various angles to improve that title and utilize it for future titles. We handle a large number of consumer game titles, including AAA titles played by tens of millions of users globally, and it is essential to process this vast amount of data thoroughly, accurately, and efficiently. The Analytics Engineer supports an environment where data analysts can focus on analysis by designing, building, and maintaining data marts, aggregating and visualizing data, and maintaining BI tools and dashboards for such diverse play data. Being involved in building a data analysis environment that handles a wide range of data, from detailed and complex to very large, is the essence of this job. Furthermore, we are actively working on utilizing machine learning and AI technologies. By using new technologies to conduct more advanced analysis on the vast play data accumulated so far, we aim to support rapid decision-making and improve operational efficiency.
- Ability to process data using programming languages such as Python - Ability to interpret and create complex SQL queries and perform necessary data operations - Ability to listen to the requests of stakeholders and design and build appropriate tables according to their needs * Experience in game-related development is not required
- Experience in building and operating systems using Google Cloud - Experience in building and operating data pipelines - Experience in application development - Practical experience with BI tools such as Tableau and Looker - Knowledge and practical experience in machine learning and generative AI
- Employee cafeteria - Massage room - Counseling services - Reduced working hours for childcare - On-site nursery - Welfare facilities (corporate contracts) - Club activities (bouldering, game jams, etc.) - Patent reward system - Long service award system - Stock compensation system - Employee savings plan - Employee stock ownership plan - Various social insurance and more
