Data Analyst, Data Science Group - Analytics & Metrics Department (AMD)
- 雇用形態
- Full Time
- 勤務形態
- Hybrid
- 給与
- 記載なし
この仕事について
仕事内容は掲載元の言語で表示しています。最新の条件は企業の募集ページでご確認ください。
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)
応募要件
- 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
- 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