About Company
Rakuten Group is a global leader in internet services, empowering individuals and businesses through a diverse ecosystem of over 70 services, including e-commerce, fintech, digital content, and communications. Headquartered in Tokyo, Japan, Rakuten’s mission is to contribute to society by creating value through innovation and entrepreneurship, providing a seamless and enriching experience to its members worldwide. With a strong commitment to technological advancement, a ‘hyper-growth’ mindset, and a collaborative, diverse culture, Rakuten offers unparalleled opportunities for growth and impact. Join us in shaping the future of digital services.
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Job Description
As a Data Science Analyst at Rakuten Group, you will be at the forefront of leveraging vast and complex datasets to uncover actionable insights that drive business strategy and product innovation across our diverse portfolio. You will work closely with product managers, engineers, and business stakeholders from various units, including e-commerce, financial services, and digital content, to define key metrics, design experiments, and build analytical solutions. Your role will involve end-to-end data analysis, from data extraction and cleaning to statistical modeling, machine learning application, and compelling visualization of results. You will be instrumental in translating raw data into clear, concise, and impactful recommendations, directly influencing decision-making processes and contributing to the continuous improvement of Rakuten’s services. This position offers a unique opportunity to apply advanced analytical techniques to real-world business challenges in a dynamic, fast-paced, and internationally-minded environment. You will contribute to projects spanning customer behavior analysis, marketing effectiveness, fraud detection, personalization algorithms, and operational efficiency, all while supporting Rakuten’s mission to empower society through innovation. We are looking for a proactive, curious, and detail-oriented individual passionate about data and its potential to transform business, thriving in an environment where your work directly impacts millions of users globally.
Key Responsibilities
- Perform complex data analysis, including statistical modeling, predictive analytics, and segmentation, to identify trends, patterns, and insights.
- Develop and maintain dashboards, reports, and data visualizations to communicate key performance indicators (KPIs) and analytical findings to stakeholders.
- Design and analyze A/B tests and other experiments to evaluate the impact of new features, products, and marketing initiatives.
- Collaborate with engineering teams to ensure data quality, accessibility, and consistency across various data sources.
- Translate business questions into analytical problems, formulating hypotheses, and developing appropriate analytical methodologies.
- Build and deploy machine learning models for tasks such as recommendation systems, fraud detection, or customer lifetime value prediction.
- Present analytical findings and strategic recommendations to non-technical audiences, influencing data-driven decisions across the organization.
- Stay updated with the latest advancements in data science and analytics, continuously improving our tools and methodologies.
Required Skills
- Proficiency in SQL for data extraction and manipulation.
- Strong programming skills in Python or R for data analysis, statistical modeling, and machine learning.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Solid understanding of statistical concepts and their application in business contexts.
- Familiarity with machine learning algorithms and principles.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills in English, both written and verbal, for effective stakeholder engagement.
Preferred Qualifications
- Master's degree or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
- Experience with big data technologies (e.g., Spark, Hadoop, Presto) and cloud platforms (e.g., AWS, GCP, Azure).
- Familiarity with web analytics, marketing analytics, or financial analytics.
- Experience working in a large-scale, international tech company.
- Business level Japanese language proficiency.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive social insurance (health, pension, employment, workers' compensation).
- Commuting allowance.
- Employee stock ownership plan.
- Extensive training and development programs.
- Free breakfast and lunch in our on-site cafeteria (Crimson House).
- Access to Rakuten services employee discounts.
- Flexible work options (e.g., flextime, remote work allowance, where applicable).
- Support for global relocation and visa sponsorship.
- Annual health check-ups.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and cover letter. Please ensure your application highlights your relevant experience in data analysis, statistical modeling, and your proficiency in data science tools.
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