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发布于 2026-08-06 英文原文

数据分析师 - 分析与指标部门(AMD),AI与数据部门

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

楽天グループ

职种数据与人工智能 雇用形态—
工作地点东京 薪资面议

职位概要

乐天AI与数据部门(AIDD)下的分析与指标部门(AMD)招聘数据分析师,为乐天市场、乐天二手等旗舰平台制定数据驱动的产品策略。工作内容包括:挖掘用户旅程与点击流数据,识别流失与未满足需求;运用机器学习方法(聚类、分类、预测分析)推断产品使用模式;利用开源Agentic框架配置定制分析代理、自动化常规报告;分析GMV、留存率、卖家表现、活动ROI等核心业务指标;设计并评估A/B测试;将复杂统计分析转化为面向产品经理和业务方的可执行建议。技术栈包括GCP(BigQuery、Vertex AI)、Airflow、dbt、SQL、Python(pandas、numpy、scikit-learn)、Git/GitHub、Jira。要求:定量领域(统计、数学、计算机、经济等)本科以上学历;2年以上分析师或科学家实操经验;熟练编写优化SQL查询(大型数据仓库);具备Python/R数据处理经验;掌握A/B测试、假设检验、功效分析与统计显著性;英语沟通能力。加分项:对Agentic AI工作流有兴趣、熟悉点击流追踪/漏斗转化/LTV建模、日语能力。提供资深导师指导、国际化团队协作及前沿工具环境。

职位描述

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) In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: rakuten-recruiting-info@mail.rakuten.com *Please read the Application Requirements(EN) / 募集要é (JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakuten’s corporate mission is to “contribute to society by creating value through innovation and entrepreneurship.” We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten's core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality* - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details