Top Data Analyst Jobs in Japan

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

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.

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.

Lead cross-functional special projects to improve air network planning and scheduling using optimization models, automation, and analytics. Design and deploy tools and scripts, integrate solutions with scheduling systems, pilot innovations, and enable operational teams. Act as strategic advisor to planning leadership and document standards and best practices for sustainable adoption.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Lead LLM-focused data science work: analyze large datasets, build statistical models, design and deploy LLM/agentic applications, perform prompt engineering and model fine-tuning (RAG), and collaborate with global teams to deliver AI-driven business solutions.

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

Partner with Customer Success leadership to generate insights that drive Salesforce adoption, consumption, and churn reduction. Build analytics, maintain data quality, create executive BI dashboards, support decision-making, and collaborate with strategy, finance, and global data teams to operationalize data-driven initiatives.

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.