Data Marketing/Data Analytics - Store AI Solution Section, Incubation Office (INCO)

Job Description: Business Overview Rakuten Group provides more than 70 services in a wide range of fields, including e-commerce, travel, digital content, and other Internet services in Japan and overseas, as well as financial services such as credit cards, banking, securities, electronic money, and smartphone app payments, mobile services such as mobile carrier services, and professional sports. By organically linking these services through a membership system centered on Rakuten members, Rakuten has created a unique “Rakuten ecosystem” that is unlike any other. *Our Businesses Key Figures Department Overview Department & Organization This position belongs to a new business incubation organization within the Group Company Division, which operates directly under Rakuten’s executive leadership. We lead both 0→1 business creation and large-scale cross-group strategic projects, leveraging Rakuten’s broad assets, partnerships, and network. What makes this organization unique: we don’t stop at “planning” or “analysis.” We work close to the business side, moving fast and driving execution to create real impact. Service Overview: Rakuten Anshin Signage Among Rakuten’s 70+ services, Rakuten Anshin Signage is one of the newest. It is a next-generation AI signage solution that uniquely combines loss prevention (anti-shoplifting) and retail media monetization-a “two-in-one” value proposition for retailers. Key Capabilities (3 Core Values) 1. Loss Prevention (Security) AI-powered detection triggers real-time alerts to reduce staff burden and ensure a safe, secure store environment. 2. Optimized Promotion (Enhanced Experience) Leverage viewership data to measure content effectiveness and drive continuous improvement through a data-driven PDCA cycle. 3. Monetization (New Revenue Streams) Transform unused signage space into high-value advertising slots, creating new revenue opportunities for both the store and our business. Rakuten Anshin Signage is more than just a one-time implementation. It is an evolving, data-driven service that continuously enhances performance by leveraging the synergy between security and viewership data to drive measurable, long-term results. Position: Why We Hire To accelerate service expansion, we are strengthening our team and increasing headcount. Business Impact A rare opportunity to work on a two-in-one solution: loss prevention + retail media Quantify “safety” and in-store media performance, and directly connect insights to business growth. Ownership & Culture Join at a business-building stage, where you have real ownership and can shape “the standard” Move beyond routine reporting: define KPIs, run fast hypothesis-testing cycles, and drive improvements autonomously. Career Growth End-to-end exposure: KPI design, effectiveness measurement, operational design, and continuous improvement loops Strengthen not only analytics skills, but also product/business driving ability-turning analysis into decisions and action Be a core driver in solving real retailer challenges by delivering data as business value, not just “results”. Position Details Overview You will play a key role in supporting decision-making through data extraction/aggregation, BI and dashboard development, and insightful reporting. Key Responsibilities - Data Analysis: Execute end-to-end data processing, from raw data collection to visualization. - Performance Evaluation: Quantify the impact of initiatives and identify key areas for improvement. - Reporting & BI: Design intuitive, decision-ready outputs and build/optimize BI dashboards. - Strategic Proposals: Leverage cross-functional insights (Security × Retail Media) to provide data-driven solutions for client challenges. - KPI Management: Drive performance optimization by designing, tracking, and iterating on core metrics. Why This Role is Exciting Shape the Future (0→1): As this is a new business, you won't just follow existing processes-you will define the metrics, frameworks, and reporting standards yourself. Prove Unique Value: Use data to visualize and validate the dual impact of our security and retail media solutions. Tangible Impact: Go beyond surface-level insights. You will design concrete actions that directly translate into client success and business growth. Analysis & Insights: Practical Examples Using in-store behavioral and viewership data from "Rakuten Anshin Signage," you will provide multi-faceted analysis and strategic proposals: 1. Optimizing Store Operations (Security & Safety) Data: In-store customer behavioral patterns. Insights: Visualize high-risk locations and time slots to optimize staff allocation and patrol routes, creating a safer store environment. 2. Maximizing Retail Media Effectiveness Data: Content viewership metrics. Insights: Analyze engagement to determine the optimal timing and content for ad delivery, maximizing both advertising revenue and promotional impact. Work Environment - Team size: 12 (high-performing, lean team) - Age range: Mainly 30s-40s - Hiring mix: Mid-career hires only Member backgrounds Manufacturing, retail, global consulting firms, global IT companies, etc. Mandatory Qualifications: - Experience handling large-scale datasets (practical experience in extraction, processing, aggregation, and analysis) - Experience driving work from analysis to improvement planning and execution (not stopping at insights) - Strong logical problem-solving skills (issue definition → hypothesis → validation → conclusion) - Strong communication and stakeholder management skills (internal/external coordination and alignment) - Able to perform quantitative analysis based on data - Able to interpret results by taking qualitative information into account as appropriate - Analytical skills across quantitative + qualitative approaches - Strong documentation and presentation skills (clear, visually effective materials for decision-makers) Desired Qualifications: - Advanced ability to interpret data and translate insights into proposals - Hands-on experience with BI/analytics tools such as SQL, DOMO, Tableau, Python, etc. (one or more) Other Information: Additional information on Location Rakuten Crimson House 1-14-1 Tamagawa, Setagaya-ku, Tokyo, Japan Additional information on English Qualification TOEIC score of 800 or higher (or proof of a qualification demonstrating equivalent English proficiency, or proof of a bachelor’s degree or higher from an English-speaking country) Proof of qualification must be provided by the time the job offer is issued. If you do not have a score or proof of qualification, we will arrange for you to take a TOEIC IP test administered by our company during the selection process. Related Pages - Employee Benefits: - Employee Conditions: - Culture: #business #datascientist #dataanalyst #dataanalytics#AI #groupcompanydiv #Incubation Languages: English (Overall - 3 - Advanced), Japanese (Overall - 4 - Fluent)