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发布于 2026-09-04 英文原文

数据分析(乐天银行数据智能部)

楽天銀行株式会社(出向)データインテリジェンス本部:データアナリスト

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(品川) 薪资面议

职位概要

乐天银行是日本最大的互联网银行,拥有超过1400万个账户。数据智能部成立于2017年,旨在战略性利用数据,通过分析乐天银行及乐天集团的大数据,支持战略规划、营销措施、投资和信贷管理等决策,致力于提升盈利能力和运营效率。该部门不仅进行数据汇总,还专注于AI开发,部分模型和算法基于机器学习构建,用于预测汇率和客户来电等。同时,部门还肩负着培育分析文化、推动乐天银行成为数据驱动型组织的使命。招聘岗位负责基于数据分析的服务策划与提案,利用乐天银行、乐天集团及外部数据进行多角度分析,支持前台决策并策划新服务;同时负责数据基础设施建设,开发分析数据库、引入BI工具,组织学习会促进知识共享。需与销售、账户管理、客服中心等部门以及乐天集团、乐天卡等集团公司协作。必备条件:5年以上使用Python/R/SQL进行数据分析的工作经验;使用数据库(SQL)进行数据提取和分析的经验;Linux命令使用经验;统计学/机器学习基础知识;使用BI工具(Tableau/MicroStrategy/Power BI等)创建报告和仪表板的经验;良好的沟通能力和逻辑思维能力;问题解决能力。优先条件:银行业数据分析经验、分析项目推进经验、公有云(AWS等)使用经验、Web访问分析经验、数据仓库/数据集市构建运维经验、VBA开发经验、模型开发经验、数据处理(ETL/ELT)经验。工作地点为东京品川,该职位受雇于乐天集团并借调至乐天银行。

职位描述

Job Description: Business Overview With over 14 million accounts, Rakuten Bank is the largest internet bank in Japan.   Department Overview The Rakuten Bank Data Intelligence Department was established in 2017 and aims to strategically utilize our data. We are supporting decision-making such as strategy planning, marketing measures, investment, and credit administration by analyzing big data owned by Rakuten Bank and Rakuten Group. Our mission is to contribute to improving profitability and operational efficiency through these activities. We do more than just aggregate data. Recently, we have been focusing on AI development. Some of our models and algorithms have been built based on machine learning and are utilized for predicting things such as exchange rates and incoming customer calls. At the same time, we also have a mission to foster an analytical culture that enables Rakuten Bank to grow as a data-driven organization. We are the department that leads the company from the perspective of data utilization. Why We Hire We are looking for personnel for advanced data analysis and strengthening the data analysis platform for all of Rakuten Bank. In addition to big data analysis, it is possible to gain a wide range of experience relating to data including AI development, application development, and organizing study sessions.   Position Details Responsibilities Service planning and proposal based on data analysis: We perform multi-faceted analysis using Rakuten Bank, Rakuten Group, and external data. In addition, we support front office decision-making, and plan and propose new services based on analysis results. Development of data infrastructure / fostering a culture of data analysis: We are preparing an environment where every department can use cross-sectional data. For this, we are developing a database for analysis and introducing BI tools in-house. We organize study sessions and actively promote the sharing of knowledge. Stakeholders We have the opportunity to interact with various departments within the company, such as the Sales (retail/corporate), Account Management, and Customer Center. In addition, we are collaborating and actively discussing data utilization with group companies such as Rakuten Group and Rakuten Card.   Mandatory Qualifications: 5+ years work experience with data analysis using Python / R / SQL Experience with data extraction and data analysis using database (SQL) Experience with Linux command usage (shell / shell script) Basic knowledge of statistics / machine learning Experience creating reports and dashboards using BI tools (Tableau / MicroStrategy / Power BI, etc.) Communication skills that allow you to listen to and understand the other person's story and convey your thoughts in an easy-to-understand manner Logical thinking that can make decisions efficiently and rationally Problem-solving ability to understand the essential needs of the other party and lead to a solution through hypothesis and verification Desired Qualifications: Experience with data analysis and development in the banking industry Experience with analysis project promotion Experience with public cloud usage (AWS, etc.) Experience with web access analysis experience Experience building, operating, and maintaining data warehouses / data marts Experience with VBA development Experience with Model development Experience with data processing (ETL / ELT) Additional Information on Location Tokyo (Shinagawa)   Additional Information on Secondment This position will be employed by Rakuten Group, Inc. and seconded to Rakuten Bank, Ltd. ※ For more information, please refer to the links below: ---------------------------------------------------------------------------- ▼ About Company ・History of the Rakuten Brand(opens in new window) ・Rakuten Group as a Global Company(opens in new window) ・Giving Back to Society(opens in new window) ▼ Latest Company News ・Press Release(opens in new window) ・Investor Relations(opens in new window) ▼ Video Links ・Other Rakuten Group Activities(opens in new window) ▼ Conditions of Employment ・Rakuten Group Employee Benefits(opens in new window) ---------------------------------------------------------------------------- #engineer #datascientist #researcher #fintechgroup #RakutenBank #Python Languages: Japanese (Overall - 4 - Fluent) 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