Data Analyst - Marketing Section, Fashion Business Department, Marketplace Business (C&M) job opportunity at Rakuten International.



DateMore Than 30 Days Ago bot
Rakuten International Data Analyst - Marketing Section, Fashion Business Department, Marketplace Business (C&M)
Experience: General
Pattern: full-time
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Fashion Business Department, Marketplace Business (C&M)

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degreeHigh School (S.S.C.E)
loacation Tokyo, Japan, Japan
loacation Tokyo, Japan....Japan

Job Description: Department Overview Rakuten Fashion is a fashion e-commerce site that offers a wide range of items, primarily featuring select shop brands such as BEAMS and UNITED ARROWS. Our mission is not only to expand sales but also to become a platform that maximizes the value and appeal of our brands to end-users. With the increasing demand for e-commerce, Rakuten Fashion is expanding its business investments and aiming for significant growth. While backed by Rakuten Ichiba, one of Japan's largest e-commerce services, Rakuten Fashion is still catching up to its competitors. That's why your data analysis skills and creativity will be a powerful force in transforming Rakuten Fashion's future. To accelerate the growth of Rakuten Fashion, we are seeking new members to join our marketing team. Our mission is to deepen customer understanding based on data and maximize customer acquisition and purchase frequency. To that end, we are responsible for executing and improving each marketing initiative and constantly pursuing new challenges. Within the team, we foster an open atmosphere where data-driven discussions are actively encouraged, and members collaborate to pursue improvements. Your proposals leveraging your data analysis skills will be actively adopted. We are looking for individuals who can leverage Rakuten Group's abundant resources without being bound by existing frameworks, and who can independently identify issues and create solutions. Let's work together to shape the future of Rakuten Fashion. Position: Why We Hire Rakuten Fashion is seeking a talented and driven Data Analyst to lead our data initiatives and contribute to our continued business expansion. You will leverage Rakuten Group's vast data resources, powerful membership base, and diverse ecosystem to drive business growth by engaging stakeholders both within and outside the organization. You will collaborate directly with management (executives, senior managers) to refine strategies and accelerate Rakuten Fashion's growth through data-driven insights. With vast untapped data territories, your analysis has the potential to unlock new discoveries. Position Details As a Data Analyst, you will drive the overall growth strategy of Rakuten Fashion based on data. Your specific responsibilities include: - Business Forecasting: Creating forecasts for Rakuten Fashion's overall distribution value (annual/monthly/daily) - Customer Strategy: Extracting and analyzing data, formulating strategies, and verifying the effectiveness of customer acquisition and development efforts - Analyzing the current state of customer loyalty, identifying issues, formulating and executing strategies - Trend Analysis: Analyzing and visualizing product sales and purchasing trends to identify growth drivers and set KPIs - Data Environment Development: Developing and operating data collection and analysis environments to meet business data utilization needs, and planning and managing data monitoring environments Why This Position is Attractive - Access to Massive Data: You will handle Japan's largest product sales and purchasing data, and gain a deep understanding of Rakuten's data structure. There are also many untapped data territories, and your analysis has the potential to unlock new discoveries. - Strategic Planning: You will be involved in the entire process from planning new projects/strategies to execution and review through data analysis. Your analysis will lead to important decisions that will shape the future of Rakuten Fashion. - Collaboration with Management: You will have the opportunity to discuss analysis results and strategies directly with management (executives, senior managers), and develop a management perspective. - Challenging Environment: Because we are a growing service, you can actively take on new initiatives. Utilize the latest analytical methods and tools to create value that no one has ever seen before. - Skill Development: As a stakeholder in various data utilization initiatives, you will hone your data collection and analysis skills by engaging in daily discussions within the marketing organization. We also support to fully support your skill development. - Data-Driven Culture: The Rakuten Group as a whole emphasizes data-driven decision-making, creating an environment where your analytical abilities can be maximized. - Business Contribution: You will feel that your analysis results directly impact Rakuten Fashion's growth strategy. Mandatory Qualifications: - Data processing and analysis skills, and business communication skills - Practical experience using SQL for data processing and aggregation - Practical experience using Python for data processing and data analysis - Practical experience using Excel for data aggregation Desired Qualifications: - Fundamental knowledge of statistics - Experience in designing and building KPI dashboards using BI tools - Project Management experience - Experience in e-commerce, the fashion industry, or related fields - Experience in digital marketing Others Information: Additional information on Location Rakuten Crimson House 1-14-1 Tamagawa, Setagaya-ku, Tokyo   Additional information on English Qualification TOEIC Score exceeding 800 (or similar level of English ability or a University Degree earned in an English-speaking country) Proof of eligibility is required by the timing of the offer letter. If no evidence is available to prove the qualifications denoted above, taking an IP test, organized by our company, during selection process is required. #business #marketing #PR  #commerce  #RakutenFashion  Languages: English (Overall - 4 - Fluent), Japanese (Overall - 4 - Fluent)

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