Job Description:

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment, and communications, bringing the joy of discovery and access to more than 1 billion members across the world. Our teams deliver on the company's mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Rewards is seeking a visionary Senior Manager, Analytics to spearhead our data-driven initiatives. This role is pivotal for someone who can inspire a team of top-tier data scientists and analysts, guiding significant strategies like fraud detection and payment executions, and shaping the future of Rakuten Rewards through advanced analytics and AI-driven strategies. The successful candidate will drive the development of a centralized data product that promotes a self-service culture, ensuring data integrity with external partners and translating complex analytics into actionable business strategies.

• Leadership and Strategy: Lead a team of data scientists and analysts, developing strategies that impact millions of users on Rakuten Rewards' platforms.
• Project Management: Oversee analytics projects from inception to completion, collaborating closely with Product, Engineering, and cross-functional teams to inform and execute business strategies.
• Strategic Influence: Deliver clear and persuasive analytics insights to senior management, directing the strategic orientation of products and services.
• Analytics and Problem Solving: Tackle a wide range of challenges using a variety of analytical and statistical methods to produce actionable insights, emphasizing improvement in revenue growth and cost efficiency.
• Performance Metrics: Define and monitor key performance indicators, using them to guide goal setting, forecasting, and performance monitoring to pinpoint trends and opportunities.
• Innovation and Process Improvement: Promote the adoption of new technologies and methodologies to optimize business processes and decision-making capabilities throughout the organization.
• Advancement of Data Science: Champion best practices in data analysis, mentorship, and process enhancement, extending knowledge and tools throughout the organization.

• 8+ years of relevant experience in analytics, business intelligence, data science, or a related field.
• High proficiency in SQL, Tableau, and a scripting language (Python/R).
• Exposure to Graph Databases, understanding their application and benefits.
• Experience managing high-performing teams.

• Degree in Economics, Statistics, Mathematics, Computer Science, or related field.
• Proven leadership experience (5+ years) in an analytics or data science role, preferably within e-commerce or a similar industry.
• Strong analytical skills, including expertise in statistical analysis, predictive modeling, and machine learning.
• Excellent communication and interpersonal skills, capable of working cross-functionally and presenting complex information in an accessible manner.