About this role
Job Description:
Business Overview
Rakuten group has almost 100 million
customers based in Japan and 1 billion globally as well, providing more than
70 services in a variety such as e-commerce, payment services, financial
services, telecommunication, media, sports, etc.
Department Overview
"Logistics" is one of essential
foundation for developing EC services in Rakuten Group. Logistics outsourcing
service "Rakuten Super Logistics (RSL)" for merchants in Rakuten
Ichiba
・ Online bookstore
"Rakuten Books"
・ Online shopping site for
daily necessities, health foods, pharmaceuticals, etc. "Rakuten 24"
(Rakuten Direct)
・ Online Fashion site that
officially handles popular apparel brands, "Rakuten Fashion"
Our department provides services that
supports the business models described above, such as
・ Warehouse Management
System (WMS)
・ Transportation Management
System (TMS)
・ Collaboration with
Rakuten Ichiba The wide ranges of services we provide requires diversity in
many areas, such as personality, knowledge and working environment.
Logistics Data Analytics Group - have
vision to help the whole logistics department to become a data driven
organization. We are using GCP as our data platform foundation and building
the data analytics platform on GCP. We are proceeding with data visualization,
business insight and trend predictions based on our data to help the business
side on decision making, cost optimization and so on. We are focusing on 2
fields:
・ Data Analytics and
Visualization - Adopting a data-driven approach to utilize data for issue
identification, resolution, and support in business strategy decision-making.
・ AI Utilization - Promoting the efficiency
and innovation of business processes.
Position:
Why We Hire
Our logistics data platform is nearing
completion. As we move from the infrastructure-building phase (0 to 1) to the
value-realization phase (1 to 100), we are looking for a Logistics Data
Business Partner to lead the next chapter of our journey. Your mission is to
pivot our focus toward data utilization. You will be the vital link between
our logistics business and our engineering team, ensuring that we leverage
our new data platform and emerging AI technologies to drive tangible business
results - specifically, expanding sales and reducing operational costs.
Position Details
・ Strategic Bridge: Act as the primary interface between logistics business, operations and our engineering team. You will translate ambiguous
business pain points into structured, data-driven workstreams.
・ Technical Guidance: While you are not expected to be the primary
coder, you will guide our Data Scientists and Engineers by evaluating
analytical approaches, ensuring model selection is robust, and maintaining
high standards for scalability and performance.
・ Project Ownership: Drive data utilization projects from
"idea" to "reality." Manage stakeholder expectations,
track ROI, and ensure our solutions are not just technically sound but
practically adopted by warehouse operations.
・ Organizational Catalyst: Shift the team’s focus from
"building dashboards" to "improving business KPIs." Use
your broad knowledge of Data Engineering and AI to identify where we can
drive the most impact in sales growth and cost reduction.
Work Environment
Mandatory Qualifications:
・ 3+ years of experience in data-driven business roles (e.g., Data
Business Partner, Analytics Lead, Logistics Strategy).
・ Strong Business Sense: Proven ability to translate business goals
into data/AI requirements.
・ Communication Mastery:
English: Professional working proficiency for technical team
collaboration.
Japanese: Business-level proficiency for stakeholder engagement
and operational coordination.
・ Data Literacy: Familiarity with data analysis and data science
concepts (you don’t need to be an engineer, but you must know what is
possible and how to guide the team).
・ Project Management: A track record of pushing projects from
"idea" to "reality" in a complex, cross-functional
environment.
Desired Qualifications:
・ Experience in the logistics, supply chain, or e-commerce industry.
・ Understanding of the modern data stack (GCP, BigQuery, Looker,
etc.) and how they translate into business insights.
・ Experience in a fast-paced, scale-up environment where you have
moved a project from early-stage development to full production.
Other Information:
Additional information on Location
Tokyo
Additional information on English Qualification
#commerce #dataanalyst #datascientist #RakutenSUPERLOGISTICS