AirTA

Data Analyst, Data Science Group - Analytics & Metrics Department (AMD)

Collected Jul 25, 2026 · Last checked Oct 15, 2026

Job Details

Not stated

Tokyo

Full-time

Daily English

Not stated

Not stated

Not stated

Not in this posting: salary, employer phone number

About This Role

Job Description

Business Overview

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.

Department Overview

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.

Position:

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

Mandatory Qualifications

  • 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

Desired Qualifications

  • 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

#engineer #datascientist #dataanalyst #dataanalytics #AI #aianddatadiv

Languages:

English (Overall - 3 - Advanced)

Language Requirements

Daily English

・Effective English communication skills

Professional Working Proficiency (JLPT N2)

・Conversational or business-level Japanese language skills are a welcomed bonus

Company

Rakuten Group

楽天グループ株式会社

Head Office: Tokyo

Internet / E-CommerceFinance & FinTech

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