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.

Key Responsibilities:

• 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.

Minimum Requirements:

• 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.

Qualifications:

• 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.

Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.