Top Data Analyst Jobs in Japan

Support Air Force Special Operations Command by querying, engineering, and analyzing data for mission and business functions. Identify data sources, improve collection and reporting, gather requirements, resolve technical issues, design data manipulation algorithms, build self-service data tools, and promote data quality, metadata, lineage, and business definitions. Collaborate with data teams to produce quantitative and qualitative insights supporting SOCOM and AFSOC decision-making and mission readiness.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

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.

Serve as the operational and support hub between financial clients and product/engineering. Handle client onboarding, diagnose and troubleshoot data/workflow issues, analyze complex financial datasets, document requirements and solutions, surface bugs and client feedback, and coordinate cross-functionally to ensure successful post-launch outcomes.

Support ISO 13485:2016 clause 8.4 data analysis by collecting, cleansing, structuring and analyzing QMS data from eQMS/SaaS systems. Build dashboards, metrics, trend reports and visual insights; support management review, CAPA monitoring, audit readiness and process performance reviews. Collaborate with system/process owners and IT on data mapping, integration, governance, and propose corrective actions for data integrity and traceability issues.

Analyze large-scale on-chain data to detect anomalous transactions, develop detection mechanisms and risk monitoring frameworks, apply supervised and unsupervised ML, identify malicious accounts via community-discovery algorithms, and design integrated on-chain/off-chain prevention and control systems.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

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.

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.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

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