Data Analyst, Data Science Group - Analytics & Metrics Department (AMD)
At a glance
Mid-level Data Analysis & BI role at Rakuten. Tokyo · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Trace journeys and clickstream activity to find churn, drop-offs and unmet user needs that could shape product features
- Use clustering, classification and predictive analysis to explain product usage and give business teams actionable findings
- Set up analytical agents with vetted open-source frameworks, then automate recurring reports and speed up complex work
- Measure marketplace growth drivers, including GMV, retention, seller results and campaign returns across Rakuten Ichiba and Rakuma
- Plan and assess A/B tests, then turn statistical results into practical advice for product and business teams
What you bring
- A bachelor’s degree in a quantitative discipline such as statistics, mathematics or computer science
- More than two years in a hands-on analyst or data scientist role
- Strong SQL skills and practical Python or R experience for data handling, statistics and visualization
- Working knowledge of A/B testing, hypothesis tests, power analysis and statistical significance
- Effective English communication skills
Who this fits
This mid-level role suits an analyst ready to work with large datasets, product teams and data scientists, with senior guidance available on advanced machine learning and agent automation. The position is based in Tokyo, and English communication is required. Japanese ability is a welcome advantage for working with local business leads.
From the employer
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)
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