Lead Data Analyst (Manager Track) - Conversational Experiences Department (CXD)
Rakuten · JP
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About the Role
The AI & Data Division (AIDD) creates customer-focused solutions for search, recommendation, data science, advertising, marketing, price, and inventory optimization. The Conversational Experiences Department (CXD) within AIDD focuses on AI for customer service, building conversational AI products like chatbots and voicebots. This role is crucial for modernizing legacy contact-center tooling into an agentic Generative AI stack, codenamed Raptor, and scaling AI solutions across Rakuten's diverse businesses.
Responsibilities
- Lead, coach, and develop a team of Data Analysts and Senior Data Analysts, providing day-to-day support, detailed work review, goal setting, and career development.
- Support hiring and organization planning for the analytics group.
- Set the group's standard for analytical rigor, reviewing team frameworks, KPI definitions, and deliverables.
- Own the product organization's success measurement by defining the KPI framework and dashboards for product health and user engagement.
- Direct team analysis through exploratory studies, hypothesis validation, and experiment results to inform the product roadmap.
- Own data infrastructure decisions, from data pipelines to BI tools, ensuring data accuracy and accessibility.
- Champion AI and agentic tools to enable team members and stakeholders in self-service data analytics.
- Act as the analytics counterpart to Product Management and engineering leadership, quantifying customer pain points and shaping future development.
- Represent analytics to stakeholders across Rakuten businesses, translating analysis into decisions.
- Build first-version (V1) data infrastructure where minimal exists.
- Champion AI tools that empower the team and served businesses to perform data analytics.
Requirements
- More than 7 years of hands-on experience in data analytics, with a significant portion dedicated to product analytics.
- Experience leading data analysts, including coaching, detailed work review, and people development, with solid people management experience and the drive to stay hands-on.
- Experience partnering with Product Managers and engineering teams to solve complex business problems at a senior stakeholder level.
- Demonstrated ability to translate business questions into analytical plans and analysis results into business impact.
- Proven experience in data extraction, processing, and aggregation using SQL.
- Expertise with BI tools such as Tableau, DOMO, or Looker, including setting standards for dashboards and reporting.
- Fluent in English with exceptional communication skills for effective collaboration in a multinational environment.
- Japanese language proficiency at JLPT N2 or above, with experience communicating with business stakeholders in Japanese.
Skills
- Product Analytics
- Data Analytics
- SQL
- BI Tools (Tableau, DOMO, Looker)
- Dashboarding
- Reporting
- English Communication
- Japanese Communication (JLPT N2+)
- People Management
- Coaching
- Work Review
- Goal Setting
- Career Development
- Analytical Rigor
- KPI Definition
- Data Infrastructure
- Data Pipelines
- AI Tools
- Agentic Tools
- Experimental Design
- User Behavior Analysis
- Statistical Methods
- A/B Testing
- Data Visualization
- Statistical Modeling
- Python
- R
- BigQuery
- Databricks
Location
- Tokyo
Work Type
- Full-time
Experience Level
- Lead
- Senior
Education Level
- Bachelor's degree in a quantitative field (Computer Science, Engineering, Statistics, or Mathematics)
- Master's degree in a quantitative field (Computer Science, Engineering, Statistics, or Mathematics)
About the Company
- The Rakuten Group, Inc. is a global leader in internet services, empowering individuals, communities, businesses, and society.
- Founded in Tokyo in 1997, Rakuten offers services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members worldwide.
- The Group has nearly 32,000 employees and operations in 30 countries and regions.
- The AI & Data Division (AIDD) develops powerful, customer-focused solutions for search, recommendation, data science, advertising, marketing, price, and inventory optimization.
- The Conversational Experiences Department (CXD) focuses on AI for customer service, building conversational AI products like chatbots and voicebots.