Data Analyst – Data Intelligence Department, Rakuten Bank, Ltd.

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 HireWe 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 / SQLExperience 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 / Micro
• Strategy / 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 SecondmentThis 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・Rakuten Group as a Global Company・Giving Back to Society▼ Latest Company News・Press Release・Investor Relations▼ Video Links・Other Rakuten Group Activities▼ Conditions of Employment・Rakuten Group Employee Benefits#engineer #datascientist #researcher #fintechgroup #RakutenBank #PythonLanguagesJapanese (Overall - 4 - Fluent)