{"id":1174928,"url":"https://alion.io/job/rakuten-data-analyst-data-intelligence-department-rakuten-bank-ltd-secondment","title":"Data Analyst – Data Intelligence Department, Rakuten Bank, Ltd. (Secondment)","company":{"id":448445,"name":"Rakuten","domain":"rakuten.co.jp","url":"https://alion.io/company/rakuten-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":64,"ghost_share":0,"stale_share":0.359,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":81000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3468},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-11-04T18:13:40Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Job Description:\nBusiness Overview\nWith over 14 million accounts, Rakuten Bank is the largest internet bank in Japan.\nDepartment Overview\nThe 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.\nWe 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.\nWe are the department that leads the company from the perspective of data utilization.\nWhy We Hire\nWe 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.\nPosition Details\nResponsibilities\nService 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.\n\nDevelopment 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.\n\nStakeholders\nWe 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.\nMandatory Qualifications:\n5+ years work experience with data analysis using Python / R / SQL\n\nExperience with data extraction and data analysis using database (SQL)\n\nExperience with Linux command usage (shell / shell script)\n\nBasic knowledge of statistics / machine learning\n\nExperience creating reports and dashboards using BI tools (Tableau / MicroStrategy / Power BI, etc.)\n\nCommunication skills that allow you to listen to and understand the other person's story and convey your thoughts in an easy-to-understand manner\n\nLogical thinking that can make decisions efficiently and rationally\n\nProblem-solving ability to understand the essential needs of the other party and lead to a solution through hypothesis and verification\n\nDesired Qualifications:\nExperience with data analysis and development in the banking industry\n\nExperience with analysis project promotion\n\nExperience with public cloud usage (AWS, etc.)\n\nExperience with web access analysis experience\n\nExperience building, operating, and maintaining data warehouses / data marts\n\nExperience with VBA development\n\nExperience with Model development\n\nExperience with data processing (ETL / ELT)\n\nAdditional Information on Location\nTokyo (Shinagawa)\nAdditional Information on Secondment\nThis position will be employed by Rakuten Group, Inc. and seconded to Rakuten Bank, Ltd.\n※ For more information, please refer to the links below:\n----------------------------------------------------------------------------\n▼ About Company\n・ History of the Rakuten Brand(opens in new window)\n・ Rakuten Group as a Global Company(opens in new window)\n・ Giving Back to Society(opens in new window)\n▼ Latest Company News\n・ Press Release(opens in new window)\n・ Investor Relations(opens in new window)\n▼ Video Links\n・ Other Rakuten Group Activities(opens in new window)\n▼ Conditions of Employment\n・ Rakuten Group Employee Benefits(opens in new window)\n----------------------------------------------------------------------------\n#engineer #datascientist #researcher #fintechgroup #RakutenBank #Python\nLanguages:\nJapanese (Overall - 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