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.
MercariThis job posting was originally in Japanese. The English version is automatically translated. Please visit the company site for the most accurate information.
This role is responsible for ensuring the delivery of a highly cost-effective data analytics environment. The successful candidate will build and maintain a mechanism that naturally fosters cost-awareness among users, eliminates operational waste, and ensures that finite computing resources are precisely allocated to high-priority business tasks. Responsibilities: - Continuously improve the BigQuery-based data analytics platform across the areas of access control, resource allocation, cost optimization, and usability to deliver sustained value to data users. - Provide domain expertise in resource and cost management of cloud data warehouse to maintain a highly efficient analytics environment. - Establish a comprehensive workflow cycle that covers everything from individual query performance tuning to the end-to-end forecasting and budget management of cloud expenditures for each cost center. - Communicate effectively with diverse stakeholders, including data users, security and privacy teams, to continuously improve the data platform in alignment with their operational needs and compliance requirements. - Lead the collaboration with team members to realize a data analytics infrastructure that simultaneously achieves high usability, optimal cost efficiency, and robust security.
- Resonates with the mission and values of Mercari Group and its individual companies. - Strong leadership and driving force to manage projects by communicating effectively with data users, governance teams, and other stakeholders. - Deep understanding of cloud data warehouse architecture and cost structures, including practical knowledge of IaaS implementation. - Knowledge and hands-on experience in analyzing and optimizing data transformation logic using SQL within a data warehouse environment.
- Experience in FinOps initiatives for data analytics infrastructure, specifically focusing on resource optimization and cost efficiency. - Experience in implementing and managing ETL/ELT pipelines for data marts. - Experience in designing, building, or managing data infrastructure specifically tailored for AI/LLM utilization.
