Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
RakutenWe are looking for individuals to join us in this challenge—using the power of marketing to leave a mark on our massive ecosystem and ensuring "Rakuten" remains an indispensable presence for our users. The Data & Insights Group utilizes data from across the Rakuten Group to rigorously measure the Return on Investment (ROI) of marketing initiatives and provide recommendations for budget optimization, driving profitability for the entire group. We are an essential function for the future of Rakuten’s marketing, moving beyond basic attribute data to create precise segments based on behavioral history and purchase intent. We design marketing initiatives to provide personalized experiences for every customer and share these best practices across the group. This role offers the opportunity to build a career on a scale that overlooks Rakuten's diverse services, with potential for further advancement within the cross-functional organization or into specific business units.
- 3+ years of practical experience in data extraction, processing, and aggregation using SQL. - 3+ years of experience in data processing and dashboard development on Big Query using BI tools (Tableau, Looker, DOMO, etc.). - Ability to autonomously design hypotheses, structure analytical approaches, and solve business problems. - Experience in structuring analysis into compelling stories for reports and presentations. - Experience in collaborating with diverse stakeholders to provide data-driven recommendations.
- Practical experience in marketing data analysis (Campaign measurement, digital ad optimization, CRM analysis, etc.). - Business-level English proficiency. - Understanding of cookies and tracking technologies. - Conceptual understanding or practical experience with Generative AI, machine learning, and deep learning. - Experience in data analysis, visualization, or machine learning using Python or R. - Practical knowledge of statistics (mean, variance, population/sampling, hypothesis testing). - Knowledge and implementation experience with statistical models (logistic regression, clustering, factor analysis, etc.). - Experience in promoting dashboard usage or supporting data literacy/education for user departments.
