Lead the design, development, and operation of the internal operation system supporting the circulation of used devices.
About this role
This role builds and operates a data analytics platform centered on BigQuery, consolidating data from various services — including pricing data, access logs, and sales KPI data — that currently lives in MySQL (CloudSQL), NoSQL (Firebase), spreadsheets, and various Google Cloud/SaaS platforms. As the volume of data handled grows, the team is expanding headcount to build and operate systems for data utilization. Experience with BigQuery and ETL construction is preferred, but software engineers with service-development and SQL experience who want to learn BigQuery-centered data analytics platforms going forward are also welcome. Expected responsibilities: building and operating the data analytics platform (examples include access-log and ad-related KPI data, and Google Cloud application logs); building and operating an analytics platform for held pricing data; and building BI dashboards using Looker / Looker Studio. Employment is full-time, based at the Tokyo head office in Akasaka, Minato-ku, with an expected in-office attendance of about 2-3 days per week; the office is planned to relocate near Aoyama-itchome station around autumn 2026. Hiring process: document screening, casual interview, multiple interviews (3-4 rounds) plus reference check, then an offer interview.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Responsible for maintaining and improving the availability, robustness, and fault tolerance of internal and external services. Expected to lead the construction and operation of monitoring and alert environments.
Manage Belong’s corporate IT environment, including help-desk support, device and SaaS administration, onboarding, network operations, audits, automation, and security response.
Design and implement data infrastructure to support AI utilization, collaborating with senior engineers and consultants.
Develop and improve Android native applications, focusing on UI/UX design and quality enhancement.
Build web and mobile apps, backend systems, and AI agents in an in-house team. After three months of training, work across planning, development, and operational improvement.