Top Data Analyst Jobs in Japan

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

Analyze hydrogen demonstration and operational data to derive business insights, build visualizations and interactive map-based displays, support data collection priorities, collaborate with cross-functional teams, and inform hydrogen product and business development at Woven City and beyond.

Transform operational and enterprise data into strategic insights. Integrate and interpret data from enterprise platforms, build and maintain ETL/ELT pipelines, and design interactive Power BI and Tableau dashboards. Enforce data governance, ensure data quality, generate regular and ad-hoc reports, and support briefings and mission decision-making using SQL, Excel, and scripting techniques.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

The Business Analyst will engage with senior stakeholders to translate business needs into GenAI use cases, document requirements, and support AI solution rollouts while managing onsite and offshore teams.

Own data for analytics and reporting, collaborate with data pipeline engineers and stakeholders to build tools and dashboards, work with real-time multi-source data and scalable pipelines using Kafka, Druid, EMR, Trino, and Airflow to support live ops, marketing, UA, monetization, and finance.

Seeking a Data Analyst to manage driver operations, optimize onboarding, design incentive programs, and utilize SQL for data analysis and reporting.