Top Data Analyst Jobs in Japan

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.

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.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Analyze Japanese social media, marketing, customer, and business data to identify sentiment, trends, acquisition opportunities, funnel performance, retention, revenue, and brand insights. Build KPI dashboards and conduct cohort, funnel, attribution, segmentation, creative, and text-mining analyses. Translate findings into actionable recommendations for marketing, creative, product, and business teams serving Japanese consumers.

Manage and maintain customer account, security, pricing, and reference data across financial systems. Interpret Japanese financial documents, coordinate with international teams in English, improve data quality, support junior staff, oversee projects, and assess regulatory and operational risks. The role requires strong Japanese reading proficiency, advanced English communication, data analysis skills, and familiarity with financial services operations.

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.

Design and support real-world evidence studies using secondary healthcare data, including claims, EHRs, registries, and wearable data. Lead statistical analysis plans, define analytical specifications, perform advanced analyses, and produce tables, figures, listings, reports, and manuscripts. Provide client-facing methodological guidance, manage analytical workstreams and timelines, communicate risks, and translate findings into strategic recommendations across multiple projects.

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.

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.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.