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: Futakotamagawa Rise Office, Tokyo, Japan

Job Type: Full Time

Category: Data Analytics / Marketing Operations

Date Posted: August 18, 2026

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

Remote Status: On-site

🚀 Role Summary

• Drive growth for the Rakuten Mobile business by conducting in-depth data analysis and visualization to identify key growth drivers.

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

• Develop compelling presentation decks to effectively communicate data insights and strategic recommendations to stakeholders.

• Collaborate with a diverse team of UX specialists to enhance the end-to-end user journey across online and offline touchpoints for Rakuten Mobile services.

• Leverage a wide variety of data sources, including cookie, ID, and survey data, to uncover actionable insights and inform product UX design.

📝 Enhancement Note: This role is positioned within the UX Strategy Section of the Brand Marketing Strategy Department, indicating a strong focus on translating data insights into tangible improvements for user experience within the Rakuten Mobile ecosystem. The emphasis on "growth drivers" suggests a strategic, business-oriented approach to data analysis, moving beyond simple reporting to proactive recommendation generation.

📈 Primary Responsibilities

• Conduct comprehensive data analytics on user behavior, engagement metrics, and campaign performance for Rakuten Mobile services.

• Design and implement data visualization dashboards and reports to present complex information clearly and concisely for various stakeholders.

• Set up and maintain measurement frameworks, ensuring data integrity and accuracy for web analytics and user tracking.

• Analyze user journey data, including online app interactions and offline touchpoints, to identify friction points and opportunities for optimization.

• Develop data-driven hypotheses and conduct A/B testing to validate UX improvements and marketing strategies.

• Create detailed presentation decks that articulate findings, insights, and strategic recommendations for product development and marketing initiatives.

• Collaborate with cross-functional teams, including product managers, designers, and marketing specialists, to align on data-driven strategies.

• Contribute to the continuous improvement of data collection methodologies and analytical techniques.

• Monitor key performance indicators (KPIs) and provide proactive insights and alerts on performance trends.

• Support the UX research process by providing quantitative data to complement qualitative findings.

📝 Enhancement Note: The responsibilities highlight a dual focus on both technical data analysis (implementation, SQL, visualization) and strategic application (identifying growth drivers, UX improvement, presentation). The role requires not just data manipulation but also the ability to translate data into actionable business intelligence that directly impacts user experience and business growth for Rakuten Mobile.

🎓 Skills & Qualifications

Education:

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

• 2-5 years of experience in data analysis, web analytics, or a related field.

• Proven experience in data visualization and creating insightful reports.

• Experience managing projects within large-scale and complex organizations is a plus. Required Skills:

• Demonstrated proficiency in data analysis and web analytics tools.

• Strong ability in data visualization techniques and tools.

• Solid understanding of Key Performance Indicators (KPIs) and their strategic application in business.

• Proficiency in SQL for data extraction and manipulation.

• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.

• Strong logical thinking and problem-solving abilities.

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

• Experience with statistical modeling, machine learning, or artificial intelligence techniques.

• Familiarity with UX research methodologies and user journey mapping.

• Experience in implementing and managing measurement environments.

• Knowledge of A/B testing methodologies and experimental design.

• English language proficiency, with a TOEIC score of 800 or above, for potential cross-border collaboration or understanding of global best practices.

📝 Enhancement Note: The mandatory Japanese language requirement is critical for this role, emphasizing the need for seamless integration within the local team and business operations. The preferred English proficiency and TOEIC score suggest potential international interactions or exposure to global marketing and UX trends. The "2-5 years" experience level points to a role that requires foundational expertise but also offers significant growth potential.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of data analysis projects that identified key business insights or growth opportunities.

• Include case studies demonstrating the creation of impactful data visualizations and dashboards.

• Provide examples of implementing measurement environments or tracking frameworks.

• Present a project where data insights directly led to a recommended course of action or a change in strategy. Process Documentation:

• Demonstrate experience in documenting data analysis processes, from data collection to insight generation.

• Include examples of workflow optimization related to data reporting or analysis.

• Showcase how you have contributed to the standardization or improvement of measurement protocols.

📝 Enhancement Note: For an analyst role focused on UX strategy and growth, a portfolio should clearly articulate the candidate's ability to not just process data but to translate it into actionable strategies that improve user experience and drive business outcomes. Emphasis should be placed on quantifiable results and the strategic impact of their analytical work.

💵 Compensation & Benefits

Salary Range:

• Based on Rakuten's typical compensation structure for mid-level Data Analysts in Tokyo, Japan, a competitive annual salary range is estimated between ¥7,000,000 and ¥10,000,000 JPY. This range accounts for the specified experience level (2-5 years), the technical demands of the role (SQL, analytics, visualization), and the strategic importance within Rakuten Mobile's marketing division. Benefits:

• Comprehensive health insurance and social security benefits.

• Paid time off (PTO) including annual leave, sick leave, and national holidays.

• Employee stock purchase plans or stock options (subject to company policy).

• Commuting allowance and potential support for relocation.

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

• Opportunities for professional development, training, and conference attendance.

• Potential for flexible working arrangements within the on-site framework.

• Retirement savings plans. Working Hours:

• Standard full-time working hours are typically 40 hours per week, with a focus on achieving business objectives and project deadlines. The specific daily schedule may offer some flexibility within the standard workday, subject to team and operational needs.

📝 Enhancement Note: Salary estimates are based on general market data for Data Analysts in Tokyo, Japan, with 2-5 years of experience, and considering the industry (telecommunications/tech) and company size (Rakuten). Specific compensation will be determined by individual experience, qualifications, and negotiation. Benefits are typical for large, established tech companies in Japan.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, E-commerce, Telecommunications, Digital Services

Company Size: Large Enterprise (Rakuten is a global conglomerate with tens of thousands of employees worldwide). This means opportunities for diverse career paths and exposure to various business units.

Founded: 1997

Team Structure:

• The UX Strategy Section is a specialized unit within the Brand Marketing Strategy Department, focusing on enhancing user journeys for Rakuten Mobile.

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

• This section likely collaborates closely with other departments within the Marketing Division and the Rakuten Mobile business unit, including product development, engineering, and other marketing functions. Methodology:

• Data-driven decision-making is central, with a strong emphasis on leveraging analytics to inform UX strategy and product design.

• User-centric design principles guide the approach to improving touchpoints across the customer lifecycle.

• Cross-functional collaboration is essential for integrating UX insights into broader marketing and business strategies.

• Continuous improvement and iterative development are likely core to the team's operational philosophy.

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

📝 Enhancement Note: Rakuten's culture is known for fostering innovation and a global mindset. The specific team's composition of international UX specialists suggests an environment that values diverse perspectives and collaborative problem-solving. The integration of "Rakuten Mobile business" into the role title indicates a deep dive into a core strategic area for the company.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level Analyst. This role is suitable for individuals with foundational experience looking to deepen their expertise in data analysis, UX strategy, and marketing within a large, dynamic organization. It represents a crucial step in a career path that could lead to Senior Data Analyst, UX Strategist, or Marketing Analytics Lead positions.

Reporting Structure: The Data Analyst will report to a manager or lead within the UX Strategy Section, likely a UX Strategy Manager or Head of UX Strategy. This structure provides direct mentorship and guidance on analytical projects and strategic alignment.

Operations Impact: This role has a direct impact on the success of Rakuten Mobile by informing critical decisions related to user experience, product development, and marketing effectiveness. By identifying growth drivers and optimizing user journeys, the Data Analyst contributes significantly to member value expansion and the overall growth of the Rakuten ecosystem.

Growth Opportunities:

• Skill Specialization: Deepen expertise in advanced analytics, specific visualization tools, or machine learning applications for UX.

• Cross-functional Mobility: Transition into roles within product management, marketing analytics, or broader UX research within Rakuten.

• Leadership Potential: Progress to Senior Data Analyst, Team Lead, or Managerial positions, overseeing analytical projects and mentoring junior analysts.

• Industry Exposure: Gain extensive experience within the competitive Japanese telecommunications and digital services market.

• Learning & Development: Access to Rakuten's internal training programs and potential support for external certifications and conferences.

📝 Enhancement Note: The role offers a clear path for growth from a mid-level analyst to more specialized or leadership roles, particularly within the Rakuten ecosystem. The emphasis on UX strategy and mobile business provides a focused area for developing valuable, in-demand skills.

🌐 Work Environment

Office Type: Modern office space located in the Futakotamagawa Rise Office. This is a well-established business district in Tokyo, offering a professional and amenity-rich environment.

Office Location(s): Futakotamagawa Rise Office, Tokyo, Japan. This location is known for its accessibility and modern facilities, providing a conducive environment for focused analytical work and team collaboration.

Workspace Context:

• Collaborative Environment: The team consists of international UX specialists, suggesting an environment that encourages open communication, idea sharing, and collaborative problem-solving.

• Technology & Tools: Access to Rakuten's robust IT infrastructure, including relevant data analysis software, visualization tools, and potentially cloud-based platforms.

• Team Interaction: Regular team meetings, project discussions, and cross-functional collaborations are expected, fostering a dynamic and engaging work atmosphere.

Work Schedule: While the standard is a 40-hour work week, the nature of data analysis and project deadlines may require occasional flexibility. The focus is on delivering results and meeting strategic objectives within a professional, on-site setting.

📝 Enhancement Note: The on-site requirement in a modern Tokyo office suggests an environment designed for productivity and collaboration, which is crucial for a team-based UX strategy function.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and application to assess alignment with mandatory qualifications and experience.

• Technical Assessment: A potential take-home assignment or in-interview exercise focusing on data analysis, SQL querying, or data visualization skills. This will likely involve a dataset related to user behavior or marketing performance.

• Behavioral & Situational Interviews: Interviews with hiring managers and team members to assess communication, problem-solving, logical thinking, and cultural fit. Questions will focus on how candidates approach challenges and collaborate.

• Portfolio Presentation: Candidates may be asked to present examples from their portfolio, detailing their process, insights, and the impact of their analytical work.

• Final Interview: Likely with a senior leader in the Marketing Division or Rakuten Mobile to discuss strategic alignment and long-term potential.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly state the problem, your approach, the insights generated, and the measurable business impact (e.g., increased conversion rates, improved user engagement, cost savings).

• Showcase Process: Detail your analytical process, including data sources, tools used (SQL, visualization software), methodologies, and any challenges overcome.

• Focus on UX/Growth: Tailor examples to demonstrate your ability to analyze user behavior, identify UX friction points, and suggest data-driven strategies for growth.

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and that your explanations are clear and to the point.

• Japanese Language: Be prepared to discuss your portfolio and answer questions in Japanese, especially for technical and strategic aspects.

Challenge Preparation:

• SQL Proficiency: Brush up on common SQL queries for data aggregation, filtering, and joining tables. Practice complex queries that might be relevant to user behavior analysis.

• Data Visualization: Be ready to discuss best practices in data visualization and demonstrate how you would represent specific types of data (e.g., user funnels, segmentation, A/B test results).

• KPI Knowledge: Understand key metrics relevant to mobile services, user engagement, and marketing campaigns. Be prepared to explain how you would define, track, and analyze them.

• Problem-Solving Scenarios: Prepare to walk through your thought process for solving hypothetical data analysis problems related to user churn, conversion optimization, or feature adoption.

• Communication: Practice articulating your findings and recommendations clearly and persuasively, anticipating questions and potential counterarguments.

📝 Enhancement Note: The emphasis on a portfolio and potential technical assessments indicates that Rakuten values practical, demonstrable skills. Candidates should be prepared to showcase their analytical workflow and its business impact, especially in the context of UX and growth strategies for a mobile service.

🛠 Tools & Technology Stack

Primary Tools:

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

• Web Analytics Platforms: Experience with tools like Google Analytics, Adobe Analytics, or similar platforms for tracking website and app user behavior.

• Data Visualization Tools: Proficiency in tools such as Tableau, Power BI, Looker, or similar for creating dashboards and reports.

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

Analytics & Reporting:

• Statistical Software: Familiarity with R or Python for advanced statistical analysis, modeling, and data manipulation.

• Reporting Tools: Experience in generating regular performance reports and ad-hoc analyses.

• Dashboarding: Ability to design and maintain interactive dashboards for real-time monitoring of KPIs.

CRM & Automation:

• CRM Systems: While not explicitly mentioned, understanding CRM concepts and data structures is beneficial, especially if customer data is integrated.

• Data Warehousing Concepts: Familiarity with how data is stored and accessed in large-scale data warehouses.

• A/B Testing Tools: Experience with platforms for designing and analyzing A/B tests (e.g., Optimizely, VWO, or in-house tools).

📝 Enhancement Note: The core requirement revolves around strong SQL, web analytics, and data visualization skills. Proficiency in statistical programming languages like R or Python would be a significant advantage for deeper analysis and modeling.

👥 Team Culture & Values

Operations Values:

• Data-Driven: A core value emphasizing the use of data and analytics to inform all strategic and tactical decisions.

• Customer-Centric: A strong focus on understanding and improving the user experience to drive customer satisfaction and loyalty.

• Innovation: Encouraging new ideas and approaches to problem-solving, particularly in leveraging data for growth.

• Collaboration: Fostering teamwork and open communication across diverse teams and international backgrounds.

• Efficiency: Striving for streamlined processes and optimized workflows to maximize productivity and impact.

Collaboration Style:

• Cross-functional Integration: Working closely with product, marketing, and engineering teams to ensure data insights are actionable and aligned with business objectives.

• Open Communication: Encouraging a transparent environment where ideas and feedback are shared freely, especially within the international team.

• Knowledge Sharing: Actively participating in team discussions, sharing best practices, and contributing to a collective learning environment.

📝 Enhancement Note: Rakuten's emphasis on its ecosystem and member value suggests that collaboration is key to leveraging data across different services. The international nature of the UX Strategy Section highlights the importance of cross-cultural communication and adaptability.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity: Working with diverse, large-scale datasets from multiple sources within a complex ecosystem requires strong data management and analytical skills.

• Translating Insights: The challenge of effectively translating complex data findings into clear, actionable recommendations for UX and marketing strategies.

• Cross-Cultural Communication: Navigating communication nuances within an international team to ensure clear understanding and alignment on data-driven initiatives.

• Rapidly Evolving Market: Staying abreast of trends in the mobile telecommunications and digital services industry to ensure analysis remains relevant.

Learning & Development Opportunities:

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

• Industry Conferences & Training: Potential for attending relevant industry events and participating in specialized training programs to advance analytical and UX strategy skills.

• Mentorship: Access to experienced UX specialists and marketing leaders within Rakuten for guidance and career development.

• Exposure to Rakuten Ecosystem: Gaining broad insights into how data analytics contributes to various services within the Rakuten Group.

📝 Enhancement Note: The challenges presented are typical for a data-focused role in a large tech company, emphasizing the need for adaptability, strong analytical rigor, and effective communication. The growth opportunities are significant, offering a path for specialization and leadership within a prominent global organization.

💡 Interview Preparation

Strategy Questions:

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

• "How would you approach measuring the success of a new feature on a mobile app, considering user engagement and retention?" (Demonstrate your KPI definition, tracking strategy, and analytical approach.)

• "Imagine our Rakuten Mobile app is seeing a drop in user engagement in a specific segment. How would you investigate this issue using data?" (Showcase your problem-solving skills, hypothesis generation, and data exploration techniques.) Company & Culture Questions:

• "What do you know about Rakuten Mobile and its position in the market? How do you see data analytics contributing to its success?" (Research Rakuten Mobile's strategy and market standing.)

• "Our UX Strategy Section is composed of international specialists. How do you approach collaboration and communication within a diverse team?" (Highlight your cross-cultural communication skills and teamwork approach.)

• "How do you stay updated on the latest trends in data analytics and UX strategy?" (Show your commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure: Use a clear narrative: Problem -> Data -> Analysis -> Insight -> Recommendation -> Impact.

• Quantify: For each project, present concrete metrics and demonstrable business outcomes.

• Tools & Process: Briefly explain the tools you used and your analytical workflow.

• Tailor: Select examples that best align with UX strategy, mobile business, and growth marketing.

• Japanese Fluency: Be prepared to present and discuss your portfolio in Japanese.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just technical proficiency but also strategic thinking, problem-solving abilities, and cultural fit within Rakuten's collaborative and data-driven environment.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Rakuten Careers portal via the provided link.

• Tailor your resume: Highlight specific experience in data analysis, web analytics, data visualization, SQL, and KPI management. Quantify your achievements with metrics.

• Prepare your portfolio: Curate 2-3 key projects that best showcase your analytical skills, strategic insights, and impact on user experience or business growth. Ensure you can articulate these clearly in Japanese.

• Research Rakuten Mobile: Understand their services, market position, and any recent news or initiatives to demonstrate your interest and strategic thinking.

• Practice interview questions: Prepare to answer behavioral and technical questions, focusing on your problem-solving approach, collaboration style, and data-driven decision-making. Be ready to present your portfolio in Japanese.

⚠️ 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.