Job Description:

Business Overview

About Rakuten’s Business
We are a core marketing organization that supports over 70 diverse services within the Rakuten Group, both in Japan and internationally.
 

Roles and Strengths of GMSD (Group Marketing Strategy Department)
Our mission goes beyond simply increasing cross-use metrics. We lead the following areas to maximize the brand value of the "Rakuten Group," elevate its impact, and strengthen the bond between users and Rakuten:

- Embodying Brand Identity: Reconstructing Rakuten’s powerful assets within a brand strategy context. We design unified brand communication and experiences across the entire group.

- Accelerating Cross-Use through User Experience: Leveraging data-driven analysis and collaborating with each business unit to visualize the "emotional value" of using Rakuten’s services, thereby driving cross-use through the power of our brand.

- Building a "Rakuten" Design Foundation: Our creative team establishes design systems and UI/UX standards, ensuring that users feel the "Rakuten identity" across every service, embedding our world-view into society.

- Group Marketing: Orchestrating all marketing channel strategies from a group-wide perspective to lead the design of optimal experiences at every user touchpoint.

We 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.

Department Overview

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.

Position:

Why We Hire

We are expanding our team to strengthen our organizational capabilities in both "offensive" and "defensive" marketing strategies. 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.

Position Details

Key Responsibilities

- Problem Solving through Data Analysis: Utilize Rakuten’s vast user data, behavioral logs, and advanced analytical environment (Big Query, Databricks, BI tools, etc.).

- Effectiveness Validation: Calculate and verify the impact of new service launches (may include coordinating with external research).

- Dashboard Design & Development: Use Big Query and BI tools (DOMO, Tableau, Looker, etc.) to process data and build automated, scalable KPI monitoring platforms.

- Strategic Recommendations: Support ad-hoc data extraction and hypothesis testing; structure analysis results into compelling narratives for presentations to drive decision-making.

- Stakeholder Management: Collaborate with marketing teams and developers to provide data-driven insights and support strategic initiatives.

Work Environment

- Frontline of Data/AI: Gain experience with Rakuten’s rich datasets within a company actively promoting AI integration.

- High Impact: See the tangible results of your insights as they drive the growth of the Rakuten Ecosystem.

- Expert Collaboration: Work alongside a vast network of internal data science and AI experts to advance your technical skills.

Mandatory Qualifications:

- 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.

Desired Qualifications:

- 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.

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