Data Analyst, Data Science Group - Analytics & Metrics Department

AI & Data Division (AIDD) creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price, and inventory optimization solutions across Rakuten’s commerce and fintech ecosystem.

The Analytics & Metrics Department (AMD) drives data-informed product strategies for Rakuten’s flagship platforms, including Rakuten Ichiba, Rakuma, and others.

We bridge advanced data science and executive decision-making by building modern analytical pipelines, conversion models, interactive dashboards, and custom Agentic AI systems built from the ground up.

Data is the foundational core of Rakuten's AI-driven vision.

As a Data Analyst in AMD, you won't just pull numbers—you will directly influence product roadmaps, user experiences, and growth strategies for millions of daily active users across Japan’s largest e-commerce platforms.

In this role, you will collaborate directly with world-class data scientists, engineers, and leaders across our international offices.

Working alongside alumni from top global Big Tech companies, you will regularly partner with cross-border teams to tackle complex challenges.

We believe in investing in our people: you’ll receive dedicated mentorship from senior leads while leveraging massive datasets and modern tools—including internal LLM and Agentic AI workflows—to drive high-impact outcomes in a truly global, high-caliber work culture right here in Tokyo.

Mine user journey and clickstream data to spot drop-offs, churn patterns, and unmet needs—turning raw user behavior into concrete product features

Apply machine learning methodologies (clustering, classification, predictive analytics) to infer complex product usage patterns and deliver actionable business insights (with guidance from senior data scientists)

Utilize and adapt open-source agentic frameworks (vetted and tested by our team) to configure custom analytical agents, automate routine reporting, and speed up complex tasks

Analyze core business drivers (GMV, retention, seller performance, campaign ROI) to find growth opportunities across Rakuten Ichiba and Rakuma

Design, run, and evaluate A/B tests (power analysis, sample sizing, hypothesis testing) to measure the true impact of product changes and algorithm updates

Turn complex statistical analysis into practical recommendations for product managers and business stakeholders

We operate on a modern, global tech stack. You will have the opportunity to use bleeding-edge tools—from petabyte-scale cloud infrastructure to custom AI agents—to solve complex problems alongside our international engineering teams.

Cloud Infrastructure: Google Cloud Platform (BigQuery, Vertex AI)

Data Pipelines & Orchestration: Airflow, Dataform, dbt

Data Analysis & Querying: SQL, Python (pandas, numpy, scikit-learn)

AI & Agentic Workflows: OpenCode and team-vetted open-source Agentic AI frameworks (for custom skills and automation)

Version Control & Agile Collaboration: Git/GitHub, Jira