Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
PaypayThis job posting was originally in Japanese. The English version is automatically translated. Please visit the company site for the most accurate information.
In the CS department of PayPay, we are working daily on operational improvements from a user-first perspective to achieve our mission of "not causing trouble in the first place" and "ensuring quick resolutions when trouble arises." We are currently recruiting multiple positions within the CS System Planning department. With the rapid growth of our services and an increase in the number of customers, the number of users utilizing the customer support provided by PayPay is also on the rise. Our mission is to "integrate people and machines to maximize and optimize customer experience," and we are advancing system enhancements to enable users to resolve issues more easily and quickly. The department we are assigning to consists of about 20 members, primarily in their 30s. We are involved in a wide range of activities related to CS systems, from planning and creating requirement definitions to development requests and operational maintenance, all aimed at providing customer support that allows customers to resolve issues without effort. In the customer support area, the use of generative AI is rapidly expanding. As AI takes on some of the inquiry responses that were previously handled by humans, it will become increasingly important to continuously evaluate from data whether "the AI's responses were appropriate" and "where there is room for improvement" rather than just "introducing AI." Additionally, a wealth of data such as inquiry logs, response histories, and customer behaviors has been accumulated in CS. We also need to further strengthen the data analysis functions that utilize this data to improve customer experience and operational efficiency. Therefore, we are looking for personnel who can discover issues and promote improvements from both the generative AI and data analysis perspectives. In the rapidly growing customer support area of PayPay, as the use of generative AI agents expands, the importance of organizing not only quantitative data and knowledge but also unstructured data such as past decision data is increasing. Furthermore, as the democratization of analysis and data handling through generative AI progresses, the establishment and enhancement of data analysis infrastructure is becoming urgent. You will be responsible for the development and utilization promotion of data infrastructure and analysis infrastructure in the CS area. ● CS System Planning (Data and Analysis Promotion) - Quality evaluation of generative AI agents, data analysis, and continuous accuracy improvement - Collection, integration, and analysis of inquiry logs and customer behavior data - KPI design and dashboard construction in the CS area - Issue discovery and improvement measures planning based on visualization and data analysis - Effect verification - Establishment of data infrastructure and governance necessary for generative AI/data utilization - Project promotion with management, development departments, CS departments, and related departments.
- Practical experience in data extraction, aggregation, and analysis using SQL or similar tools - Experience in data visualization and dashboard construction using BI tools - Experience in identifying issues from data analysis and planning improvement measures and effect verification - Interest in new technologies such as generative AI and LLM, with the ability to learn and utilize them independently - Ability to organize business issues and translate them into solutions using data and systems - Ability to promote projects in collaboration with multiple stakeholders such as engineers, CS, and planning - Willingness to learn proactively and continuously incorporate the latest technologies - Value teamwork and be able to work collaboratively - Proficient in converting business needs into technical solutions - Willingness to commute to or travel to CS locations (Yotsuya, Sapporo, Fukuoka) without issues
- Proposal skills, negotiation, and coordination abilities - Experience in service and business improvement utilizing generative AI/LLM - Experience in analyzing response accuracy and quality improvement for AI, chatbots, voice bots, etc. - Knowledge and experience in prompt design, RAG, and knowledge management - Experience in data analysis and data processing using Python or similar tools - Experience in analysis using data warehouses such as BigQuery - Experience using BI tools such as Tableau, Looker, and Power BI - Experience in A/B testing, effect verification of measures, and KPI design - Experience in data analysis in the customer support/contact center area - Experience in analyzing large-scale inquiry logs and text data
- Social insurance (health insurance, employee pension, unemployment insurance, workers' compensation insurance) - Corporate defined contribution pension plan
