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

LocationTokyo, Japan

Typefull-time

SeniorityMid

Experience2+ yrs

DepartmentAnalytics & Metrics Department

Company size10,000+ people

PostedAug 6, 2026 · 2mo ago

Verified live1h ago

At a glanceSummarised by Seekless from the posting.

Bachelor’s in a quantitative field (Stats, Math, CS, Economics, or similar)

Over 2 years of hands-on experience as an Analyst or Scientist

SQL: Fluent in writing clean, optimized queries 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

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

Skills

Google Cloud Platform

BigQuery

Vertex AI

Airflow

Dataform

dbt

SQL

Python

pandas

numpy

scikit-learn

OpenCode

Git

GitHub

Jira

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

About the role

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)

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