发布于 2026-09-02
英文原文
数据工程师/数据分析师(数据解决方案业务)
楽天インサイト株式会社(出向)データソリューションズ部 データ&AIマーケティング課:データエンジニア/データアナリスト(A&M)
楽天グループ
| 职种 | 数据与人工智能 | 雇用形态 | — |
|---|---|---|---|
| 工作地点 | 日本(乐天集团内,具体地点未明示) | 薪资 | 面议 |
职位概要
乐天广告与媒体公司提供数字广告、市场调研、网红营销等端到端营销服务,涵盖从上游战略制定到广告运营、效果测量和数据分析的下游执行。旗下拥有Rakuten Marketing/LinkShare、Rakuten Data Marketing、Rakuten Insight等业务。2024年12月整合Rakuten Insight、Rakuten Insight Global及Super Mini Job业务,强化数据利用协同体系,加速AI技术应用、数据分析自动化与实时洞察。广告与媒体解决方案部为广告代理商、媒体公司等多样化客户提供基于市场调研、AI技术和乐天海量数据资产的营销支持。现招聘数据工程师/数据分析师,负责内外部客户的数据利用项目,包括整理数据规格、使用SQL提取和聚合数据、提案和构建BI工具、制作分析报告,并参与利用乐天集团丰富数据资产的产品开发。团队现有7名成员,各具数据处理和BI开发专长。要求深入理解业务课题,将数据与技术融合,最大化产品价值,对数据工程、BI开发、技术项目管理、运营设计和产品共创有热情。
职位描述
Job Description: Business Overview Ad & Media Company provides advertising and marketing services, including digital advertising, research, and influencer business. Its appeal lies in its ability to offer end-to-end solutions for all aspects of marketing, from upstream strategy formulation to downstream execution such as ad operations, performance measurement, and data analysis. Marketing-related businesses include "Rakuten Marketing / LinkShare," which provides general digital marketing solutions, "Rakuten Data Marketing," which offers marketing solutions utilizing Rakuten's big data, and "Rakuten Insight," which provides marketing research services, among other wide-ranging marketing businesses. This environment allows you to place yourself in an organization that forms the core of Rakuten Group, leading to your personal growth and career advancement. Department Overview In today's world, where people's lifestyles and values are diversifying, the challenges in marketing research are becoming increasingly sophisticated and complex. To address these changes and derive deeper, more fundamental insights, we leverage over 100 million pieces of big data connected through the common ID of the Rakuten Group. Our mission is to provide new value across the entire marketing process for our customers. Within the Rakuten Group, there is growing anticipation for new data businesses that utilize our unique and vast data assets. In December 2024, we will implement an organizational restructuring that integrates Rakuten Insight, Inc., Rakuten Insight Global, Inc., and the Super Mini Job business, establishing a more robust synergy creation system for data utilization. Under this system, we aim to further accelerate the use of AI technology, automate and enhance data analysis, provide real-time insights, and improve the quality of decision-making support. Our goal is to create new value that brings innovation to companies' marketing activities. The Ad & Media Solutions Department provides problem-solving marketing support to a diverse range of clients, including advertising agencies and media companies, by leveraging marketing research, AI technology, and the extensive data assets held by Rakuten. The department is composed of several specialized groups responsible for developing data-driven decision-making products, designing and promoting services such as advertising effectiveness measurement and brand lift studies, building and operating data-related operations, and planning and delivering marketing research for both domestic and international markets. Working in collaboration with these specialized groups, Marketing Research Consultants (Sales) deeply understand clients' marketing challenges and provide optimal solutions. This department offers the opportunity to engage in proposals and solutions for complex and advanced issues that go beyond traditional marketing research. Position: Why We Hire In recent years, the importance of data utilization in business has increased dramatically, and data-driven decision-making is now required in all aspects of corporate activities. In this environment, we aim to contribute to our clients' business growth and lead Rakuten Insight's data business by delivering innovative products that leverage the vast and diverse data assets held by the Rakuten Group, going beyond traditional data processing and analysis. We play a crucial role in leading the delivery of data products, ensuring their quality, stability, and scalability. By leveraging our advanced expertise in data processing and utilization, we meet the expectations of both internal and external clients through the rapid and reliable delivery of products. We are looking for team members who can maximize the value of our products by deeply understanding business challenges and integrating data with technology, not just implementing and delivering technology. We seek individuals who are eager to create new value in various areas, including data engineering, BI development, technical project management, operational design, and product co-creation. Position Details We are seeking Data Engineers/Data Analysts for our Data Solutions business. You will play a crucial role in supporting decision-making through data utilization projects commissioned by internal and external Rakuten clients. This includes organizing data specifications, extracting and aggregating data, building BI tools, and creating analytical reports. Additionally, you will have the opportunity to engage in a wide range of tasks, including product development utilizing the extensive data assets held by the Rakuten Group. Responsibilities - Utilize the extensive data assets within the Rakuten Group to support decision-making and new business development for both internal and external clients. - Extract and aggregate data using SQL. - Propose and build BI tools. - Create analytical reports using BI tools. Job Satisfaction You will have the opportunity to design and execute value creation processes by leveraging Rakuten's unique and extensive data assets. Additionally, you will be involved in decision-making across various industries, including major business companies, advertising agencies, and consulting firms. Work Environment Currently, our team consists of 7 members, each leveraging their expertise and skills in areas such as data processing and BI development. Our clients include various Rakuten Group businesses, external business companies such as manufacturers, and advertising agencies. After joining our team, you will have access to a wide range of career paths to help you build and grow your career from a long-term perspective. - Data Processing Expert: You can deepen your expertise and grow into a "Data Product Specialist" who leads the entire process from product design to delivery and operational improvement, becoming a trusted resource both internally and externally. - Co-Creator of Data Products: This career path allows you to leverage your technical expertise while understanding business challenges and needs, leading the planning and development of new products as a "Product Co-Creator." As a bridge between business and technology, you will enhance your stakeholder coordination and project management skills, directly contributing to maximizing business value through data utilization. The majority of ourteam members joined Rakuten Insight as mid-career hires. Many initially built their careers as Marketing Researchers or Directors responsible for collecting survey data and then transitioned to Data Engineer/Data Analyst roles to broaden their career horizons. Additionally, we have team members who gained experience in BI development and data analysis at companies engaged in data business and were attracted to the extensive data assets held by the Rakuten Group. Mandatory Qualifications: - Over 3 years of experience in big data processing using Python or similar languages - More than 1 year of practical experience in data aggregation and analysis using BI tools such as Tableau - Ability to clearly define requirements for big data aggregation and analysis and drive projects forward Ideal Candidate Profile - Effective communication skills with internal and external stakeholders - Eager to understand the various big data assets within the Rakuten Group and drive new challenges with a sense of urgency - Self-motivated to learn new information and knowledge in emerging fields and capable of producing outputs - Able to view difficult challenges as opportunities for growth and take positive action - Motivated to actively utilize AI to improve work efficiency and the quality of outputs - Highly interested and sensitive to technology, trends, and news Desired Qualifications: - Practical experience in improving work efficiency using programming languages such as Python - Experience in optimizing data processing using AI ã Others Information: Additional information on Location Futako Tamagawa Rise Office 2-21-