Data Analyst, Data Science Group - Analytics & Metrics Department

必須

• Bachelor’s in a quantitative field (Stats, Math, CS, Economics, or similar)
• Over 2 years of hands-on experience as an Analyst or Scientist. (We consider 2 years as our baseline—we actively look for high-potential candidates and are committed to mentoring you in advanced ML and Agentic automation methodologies)
• SQL: Fluent in writing clean, optimized queries, preferably on large data warehouses (BigQuery, Snowflake, Hive, etc.).
• Python/R: Hands-on experience using libraries like pandas and numpy for data manipulation, stats, and visualization
• Practical grasp of A/B testing, hypothesis testing, power analysis, and statistical significance
• Effective English communication skills

歓迎

• Interest in learning or building Agentic AI workflows for analytics automation
• Familiarity with user clickstream tracking, funnel conversion analysis, or customer LTV modeling
• Conversational or business-level Japanese language skills are a welcomed bonus for collaborating directly with local business leads on Rakuten Ichiba

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Why We Hire

• 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.

Position Details

• User Behavior & Product Direction Mine user journey and clickstream data to spot drop-offs, churn patterns, and unmet needs—turning raw user behavior into concrete product features
• Predictive Modeling & ML Insights 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)
• AI Agents & Workflow Automation 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
• Core Marketplace Analytics Analyze core business drivers (GMV, retention, seller performance, campaign ROI) to find growth opportunities across Rakuten Ichiba and Rakuma
• A/B Testing & Experimentation Design, run, and evaluate A/B tests (power analysis, sample sizing, hypothesis testing) to measure the true impact of product changes and algorithm updates
• Cross-Functional Partnering Turn complex statistical analysis into practical recommendations for product managers and business stakeholders

Work Environment

• 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