Data Analyst (Rakuten Mobile business) - UX Strategy Section, Brand Marketing Strategy Department, Marketing Division

📍 Job Overview

Job Title: Data Analyst (Rakuten Mobile business) - UX Strategy Section, Brand Marketing Strategy Department, Marketing Division

Company: Rakuten

Location: Tokyo, Japan (Futakotamagawa Rise Office)

Job Type: Full time

Category: Marketing Operations / Data Analytics

Date Posted: October 02, 2026

Experience Level: Mid-level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Drive growth for Rakuten Mobile by conducting in-depth data analysis and identifying key growth drivers within the user journey.

• Implement and manage robust measurement environments to ensure accurate data collection and analysis for UX strategy.

• Translate complex data insights into clear, actionable recommendations through compelling data visualization and presentation decks.

• Collaborate cross-functionally with UX Specialists and other teams to enhance the end-to-end user experience across online and offline touchpoints.

• Contribute to the expansion of Rakuten Group's membership value and ecosystem by leveraging data to inform marketing and product strategies.

📝 Enhancement Note: This role is positioned within the Marketing Division, specifically the UX Strategy Section, indicating a strong focus on leveraging data analytics to inform and optimize user experience strategies for Rakuten Mobile. The "Data Analyst" title, coupled with responsibilities like implementing measurement environments and creating presentation decks, strongly aligns with a Marketing Operations or specialized Data Analytics role within a Go-To-Market (GTM) function. The emphasis on user journey and ecosystem expansion highlights the strategic importance of data in driving business outcomes.

📈 Primary Responsibilities

• Conduct comprehensive data analysis on user behavior, engagement metrics, and conversion funnels for Rakuten Mobile services.

• Develop and maintain data dashboards and reports using visualization tools to track Key Performance Indicators (KPIs) and identify trends.

• Implement and manage web analytics tools and tracking mechanisms to ensure accurate data capture for online and offline user journeys.

• Collaborate with UX researchers and designers to analyze survey data, user feedback, and A/B testing results to inform UX improvements.

• Prepare and present detailed findings, insights, and strategic recommendations to marketing and product stakeholders to drive data-informed decision-making.

• Utilize SQL to query large datasets, extract relevant information, and perform complex data manipulations for analysis.

• Identify opportunities for process automation and efficiency improvements within data collection and reporting workflows.

• Support the development of user segmentation and profiling based on analytical insights to personalize marketing efforts.

• Contribute to the strategic planning of the Rakuten Mobile business by providing data-backed insights on market trends and customer behavior.

• Maintain a deep understanding of the Rakuten ecosystem and how Rakuten Mobile contributes to its overall value.

📝 Enhancement Note: The responsibilities listed are typical for a mid-level Data Analyst embedded within a marketing or product function, with a specific emphasis on user experience and business growth. The mention of "cookie, ID, survey data" suggests a broad range of data sources. The requirement to implement measurement environments points towards a hands-on role in setting up analytics infrastructure, which is a key function in operations.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent practical experience. Experience:

• 2-5 years of experience in data analysis, web analytics, or a similar quantitative role.

• Proven experience in managing projects within large-scale and complex organizations. Required Skills:

• Demonstrable experience in data analysis and data visualization techniques.

• Strong knowledge and practical application of Key Performance Indicators (KPIs) for measuring business and user engagement success.

• Proficiency in SQL for data extraction, manipulation, and analysis from relational databases.

• Excellent communication and interpersonal skills, with the ability to articulate complex data insights to diverse audiences.

• Strong logical thinking and analytical problem-solving capabilities.

• Professional proficiency in the Japanese language (written and spoken) is mandatory for effective collaboration and communication within the local business context. Preferred Skills:

• Experience with statistics, machine learning, and artificial intelligence concepts and applications.

• Familiarity with UX research methodologies and user journey mapping.

• Experience in implementing and configuring web analytics and measurement environments.

• Proficiency in English for business conversations, with a TOEIC score of 800 or above.

• Experience managing projects in large-scale and complex organizational structures.

📝 Enhancement Note: The mandatory requirement for proficient Japanese language skills is critical for candidates applying from outside Japan. The preferred English proficiency, with a specific TOEIC score, indicates an international team environment where English is a valuable asset, though not the primary business language for this specific role. The "2-5 years" experience level aligns with a mid-level analyst role, requiring foundational skills and some project experience.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase data analysis projects that demonstrate a clear understanding of business objectives and user behavior.

• Include examples of data visualization projects that effectively communicate complex insights and drive decision-making.

• Present case studies of implementing measurement environments or enhancing tracking capabilities for web or mobile applications.

• Provide evidence of using data to identify growth drivers or optimize user journeys, with measurable outcomes.

• Demonstrate proficiency in SQL-based analysis and data manipulation. Process Documentation:

• Documented examples of defining and tracking relevant KPIs for marketing or product initiatives.

• Workflow examples of data extraction, transformation, and loading (ETL) processes.

• Case studies detailing the process of translating raw data into actionable business recommendations.

• Examples of creating standardized reporting templates or dashboards for stakeholder consumption.

📝 Enhancement Note: For a Data Analyst role focused on UX strategy, a portfolio demonstrating practical application of data analysis to solve business problems is crucial. Emphasis should be placed on projects that show analytical rigor, clear communication of insights, and a direct impact on user experience or business growth. The ability to document and explain one's analytical process is also a key indicator of operational capability.

💵 Compensation & Benefits

Salary Range:

• Based on regional data for Tokyo, Japan, for a Data Analyst with 2-5 years of experience in a large technology company like Rakuten, the estimated annual salary range is ¥5,500,000 - ¥8,500,000 JPY. This range accounts for the mid-level experience requirement and the competitive nature of the tech industry in Tokyo. Benefits:

• Comprehensive health insurance and social security benefits.

• Paid time off (PTO) and holidays, adhering to Japanese labor laws.

• Employee stock ownership plans or stock options (potential depending on role and tenure).

• Commuting allowance and transportation support.

• Access to Rakuten's extensive ecosystem of services with potential employee discounts.

• Professional development opportunities, including training and workshops.

• Potential for flexible work arrangements within the on-site framework, subject to team and business needs. Working Hours:

• Standard full-time work week is typically 40 hours, with potential for overtime based on project demands. The role is based on-site at the Futakotamagawa Rise Office.

📝 Enhancement Note: Salary estimation for Japan requires careful consideration of local market rates, cost of living, and typical compensation structures for large corporations. The provided range is an estimate based on industry benchmarks for similar roles in Tokyo. Benefits are also generalized based on common offerings in Japanese tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, E-commerce, Telecommunications, Digital Services. Rakuten is a global innovator operating a diverse ecosystem of over 70 services, aiming to empower individuals and businesses through innovation and technology. The mobile domain is seen as a critical platform for expanding this ecosystem.

Company Size: Large enterprise (Rakuten is a multinational conglomerate with tens of thousands of employees globally). This means access to extensive resources, established processes, and a broad network of professionals.

Founded: 1997. Rakuten has a long history of innovation and growth, evolving from an e-commerce platform to a diversified technology group.

Team Structure:

• The UX Strategy Section is part of the Brand Marketing Strategy Department within the Marketing Division, indicating a specialized focus on user experience within a broader marketing framework.

• The team comprises UX Specialists from various countries and backgrounds, fostering a diverse and international work environment.

• Collaboration is key, with a focus on improving Rakuten Mobile's services through a comprehensive approach to UX across online and offline touchpoints. Methodology:

• Data-driven decision-making is paramount, with a focus on analyzing various data types (cookie, ID, survey) to uncover growth drivers.

• User-centric design principles guide UX improvements, aiming to enhance the entire user journey.

• Cross-functional collaboration is essential for integrating UX strategy across different departments and services within the Rakuten ecosystem.

• Continuous improvement through iterative analysis and implementation of UX enhancements.

Company Website: https://corp.rakuten.co.jp/

📝 Enhancement Note: Understanding Rakuten's ecosystem approach is crucial. This role contributes to the growth of Rakuten Mobile, which in turn strengthens the entire Rakuten network. The diverse team composition suggests a dynamic and multicultural workplace.

📈 Career & Growth Analysis

Operations Career Level: Mid-level Data Analyst. This role is positioned to contribute significantly to strategic initiatives, requiring a solid foundation in data analysis and a growing ability to translate insights into actionable business strategies. It offers a pathway to more specialized analytical roles or leadership within operations or marketing analytics.

Reporting Structure: The Data Analyst reports to a manager within the UX Strategy Section, Brand Marketing Strategy Department, Marketing Division. This structure emphasizes close collaboration with UX Specialists and direct contribution to departmental goals.

Operations Impact: The Data Analyst will directly influence the user experience and growth trajectory of Rakuten Mobile, a key strategic pillar for the Rakuten Group. Their insights will shape marketing campaigns, product development, and overall customer satisfaction, thereby impacting membership value and ecosystem expansion.

Growth Opportunities:

• Specialization: Develop expertise in specific areas of data analysis, such as user behavior analytics, A/B testing optimization, or predictive modeling.

• Leadership: Progress to a Senior Data Analyst role, leading projects, mentoring junior analysts, and taking on more strategic responsibilities.

• Cross-functional Mobility: Transition into roles within product management, marketing strategy, or other data-intensive functions within the Rakuten ecosystem.

• Skill Development: Continuous learning opportunities in advanced analytics, machine learning, and new data visualization tools.

📝 Enhancement Note: The role offers a clear path for growth within a large, dynamic organization like Rakuten. The emphasis on UX strategy within a major business unit like Rakuten Mobile provides significant opportunities for impact and skill development in a high-demand field.

🌐 Work Environment

Office Type: On-site at the Futakotamagawa Rise Office in Tokyo, Japan. This indicates a traditional office environment designed for collaboration and focused work.

Office Location(s): Futakotamagawa Rise Office, Tokyo, Japan. This location is known for its modern facilities and convenient access.

Workspace Context:

• The team environment is described as one where UX Specialists from various countries and backgrounds work closely together, suggesting a collaborative and international atmosphere.

• Access to modern office facilities and technology required for data analysis and collaboration.

• Opportunities for regular face-to-face interaction with team members and stakeholders, fostering strong working relationships.

• The environment is likely conducive to deep analytical work, with support for implementing measurement tools and conducting detailed analysis. Work Schedule:

• A standard 40-hour work week is expected, with the flexibility to manage analytical tasks and project timelines. On-site presence is a requirement.

📝 Enhancement Note: The on-site requirement is a key factor for candidates. The description of a diverse team working closely suggests a dynamic and engaging office culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and application, focusing on mandatory qualifications like data analysis experience, SQL proficiency, and Japanese language skills.

• Technical Assessment: A potential online test or case study focusing on data analysis, SQL querying, and data interpretation skills. This may involve analyzing a sample dataset or solving a business problem.

• Hiring Manager Interview: Discussion focused on experience, problem-solving approach, communication skills, and understanding of KPIs and user journeys. Preparation of specific examples from past projects is crucial.

• Team/Cross-functional Interview: Interaction with potential colleagues and stakeholders to assess cultural fit, collaboration style, and ability to work in a diverse team.

• Final Interview: May involve senior leadership to discuss strategic alignment and long-term potential.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly state the business problem, your role, the methodology used, and the quantifiable results achieved (e.g., % increase in conversion, % reduction in churn, specific growth driver identified).

• Showcase Process: Detail your analytical process, from data extraction and cleaning to analysis and interpretation. Highlight your SQL skills and data visualization techniques.

• Tailor to Role: Emphasize projects related to user behavior, web/mobile analytics, KPI tracking, and driving growth within a digital product context.

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and that key achievements are highlighted effectively.

• Presentation Readiness: Be prepared to walk through 2-3 key projects in detail, explaining your thought process and the impact of your work.

Challenge Preparation:

• SQL Proficiency: Practice complex SQL queries, including joins, subqueries, window functions, and aggregations.

• Data Interpretation: Be ready to analyze sample datasets and explain what the data signifies, identify trends, and propose next steps.

• KPI Understanding: Be prepared to discuss relevant KPIs for a mobile business and how you would track and analyze them.

• Communication: Practice articulating technical concepts and analytical findings clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: A strong portfolio is essential for this role, especially given the emphasis on demonstrating analytical impact. Candidates should prepare to discuss their projects in detail and articulate their problem-solving methodologies.

🛠 Tools & Technology Stack

Primary Tools:

• SQL: Essential for data extraction and manipulation from databases.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, Looker, or similar platforms for creating dashboards and reports.

• Web Analytics Platforms: Proficiency with tools such as Google Analytics, Adobe Analytics, or similar for tracking user behavior on websites and mobile apps.

Analytics & Reporting:

• Statistical Software/Languages: Familiarity with R or Python for advanced statistical analysis and machine learning (preferred).

• Spreadsheet Software: Advanced proficiency in Excel or Google Sheets for data manipulation and basic analysis.

CRM & Automation:

• CRM Systems: While not explicitly stated, familiarity with CRM concepts is beneficial for understanding customer data.

• Measurement Environment Implementation: Experience setting up tracking codes, event tracking, and conversion goals within analytics platforms.

📝 Enhancement Note: The core requirements are strong SQL and web analytics skills. Proficiency in visualization tools is also critical for presenting insights. Experience with R or Python for deeper analysis is a significant plus.

👥 Team Culture & Values

Operations Values:

• Data-Driven: A strong emphasis on using data to inform all decisions, from strategy to execution.

• User-Centric: Prioritizing the user experience and continuously striving to improve it based on insights.

• Collaborative: Working effectively within a diverse, international team and across different departments.

• Innovative: Continuously seeking new ways to leverage data and technology to drive growth and enhance services.

• Growth Mindset: A commitment to continuous learning and development to stay ahead in a rapidly evolving industry.

Collaboration Style:

• Cross-functional Integration: Actively engaging with UX Specialists, marketing teams, and product developers to ensure data insights are integrated into their work.

• Open Communication: Encouraging clear and transparent communication, especially when presenting data findings and recommendations.

• Feedback Exchange: A culture that values constructive feedback to refine analytical approaches and improve team processes.

• Knowledge Sharing: Proactively sharing insights, best practices, and learnings with the team to foster collective growth.

📝 Enhancement Note: The team culture is described as diverse and collaborative, with a strong focus on user experience and data-driven decision-making. This suggests an environment where analytical contributions are valued and integrated into broader business strategies.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Integration: Working with diverse data sources (cookie, ID, survey) and ensuring their accurate integration and analysis.

• Complex Ecosystem: Navigating the intricacies of Rakuten's vast ecosystem and understanding how Rakuten Mobile fits within it.

• Stakeholder Management: Effectively communicating complex data insights to diverse stakeholders with varying levels of technical understanding.

• Rapid Evolution: Keeping pace with the fast-changing landscape of mobile technology, user behavior, and analytics tools.

Learning & Development Opportunities:

• Advanced Analytics: Opportunities to learn and apply statistical modeling, machine learning, and AI techniques.

• UX Strategy Deep Dive: Gaining in-depth knowledge of UX research, design principles, and user journey optimization.

• Industry Conferences: Potential to attend relevant industry events and conferences to stay abreast of trends.

• Cross-functional Exposure: Gaining exposure to various aspects of marketing, product development, and business strategy within Rakuten.

📝 Enhancement Note: The role offers significant opportunities to tackle complex data challenges within a leading technology company. The challenges presented are common in large-scale tech operations and provide excellent learning grounds for ambitious analysts.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used data to identify a key growth driver for a digital product. What was your process, and what was the outcome?" (Focus on methodology, tools, and measurable impact).

• "How would you approach setting up a measurement environment for a new feature launch on a mobile app?" (Assess understanding of tracking, KPIs, and implementation).

• "Imagine you've found a significant drop in user engagement for a specific feature. How would you investigate this issue using data?" (Demonstrate problem-solving and analytical thinking). Company & Culture Questions:

• "What interests you about Rakuten's ecosystem and the Rakuten Mobile business specifically?" (Show research and genuine interest).

• "How do you approach collaborating with UX designers or product managers who may not have a strong data background?" (Highlight communication and interpersonal skills).

• "Describe your experience working in a diverse, international team." (Assess adaptability and cross-cultural communication). Portfolio Presentation Strategy:

• Storytelling: Frame your projects as narratives – problem, solution, and impact.

• Visuals: Use clear, concise charts and graphs to illustrate your findings. Ensure they are easy to understand at a glance.

• Quantify Everything: For each project, provide specific numbers and metrics that demonstrate the value you delivered.

• Process Clarity: Be prepared to explain your analytical steps, including the tools and techniques you employed.

• Focus on Relevance: Highlight projects that best align with the responsibilities and requirements of this specific Data Analyst role.

📝 Enhancement Note: Interview preparation should focus on demonstrating analytical rigor, problem-solving skills, and the ability to communicate complex data insights effectively. Candidates should be ready to discuss their past projects in detail and relate them to the specific needs of Rakuten Mobile.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link, ensuring all mandatory fields are completed accurately.

• Tailor Your Resume: Customize your resume to highlight experience in data analysis, web analytics, SQL, KPI management, and data visualization. Use keywords from the job description and emphasize achievements with quantifiable results.

• Prepare Your Portfolio: Curate 2-3 of your strongest data analysis projects that demonstrate your skills in identifying growth drivers, optimizing user journeys, and implementing measurement strategies. Be ready to present these in detail.

• Practice Interview Questions: Rehearse answers to common data analyst interview questions, focusing on behavioral questions, technical scenarios, and case studies relevant to mobile marketing and UX. Practice articulating your thought process clearly.

• Research Rakuten: Thoroughly research Rakuten's business model, ecosystem, and recent developments in Rakuten Mobile. Understand their mission and values to articulate your alignment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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