Top Data Analyst Jobs in Japan

Analyze marketing, media, website, CRM, and brand data to develop measurement frameworks, actionable insights, dashboards, and executive presentations. Build and debug analytics tracking, automate reporting, and create AI pipelines using prompts, evaluations, and data workflows. The role requires translating complex findings into clear recommendations, working with messy data, and collaborating with strategists, designers, and technologists to improve business decisions.

Provides global production support for reference data systems by monitoring alerts, managing incidents and tickets, troubleshooting software, applications, databases, and networks, and supporting critical escalations. Develops automation for deployment, system management, and service visibility; contributes to SRE, design reviews, operational readiness, and platform stability. Participates in follow-the-sun coverage, weekend and off-hours on-call rotations, and collaborates with business and technology stakeholders.

Participates in data processing, transformation, pipeline and infrastructure development, data collection and integration, quality and security initiatives, and data analysis. Collaborates with data engineers and analysts on projects while building expertise in data engineering tools, technologies, trends, and best practices.

Supports data processing, transformation, pipeline development, infrastructure maintenance, data integration, quality and security efforts, and analysis. Collaborates with data engineers and analysts on projects while staying current with data engineering practices and technologies.

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.

Audits and validates labeling annotation data for accuracy, consistency, guideline adherence, and regulatory compliance. Identifies errors and root causes, monitors quality KPIs, leads governance cycles, translates data trends into process improvements, and leads the NC Program. Collaborates with agencies and internal stakeholders across labeling operations.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international 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 SAP product master data creation, updates, deletions, and complex data entry while ensuring compliance with business rules and data standards. Gather and standardize information from content owners, lead data audits, investigate stakeholder issues, document procedures, support users, and identify process improvements. The role requires strong SAP and master data management experience, advanced Excel skills, bilingual Japanese and English communication, analytical judgment, and independent workload management.

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.

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.