Department Overview
At the CMO Office, we are committed to driving the continued growth of the Rakuten Group by developing group-wide marketing strategies and strengthening organizational capabilities and competitiveness in the marketing domain.
We also support the adoption of cutting-edge technologies and methodologies and work closely with other departments to identify and solve specific challenges through execution.
As a cross-functional organization, one of our key strengths lies in the opportunity to be involved in a wide range of projects across the group.
Why We Hire
We are looking for an experienced professional to join our team as we take on an increasing number of projects involving data-driven strategy development and initiative planning.
Our goal is to build a team capable of handling high-complexity projects, and we are seeking someone who can contribute not only through their expertise but also by helping elevate the skill level of the entire team.
If you are passionate about leveraging data to drive decision-making and are eager to support the growth of both projects and people, we'd love to hear from you.
Position Overview
This is a key role that supports decision-making through data analysis in collaboration with the Strategic Planning Team of the CMO Office.
Key Characteristics of the Role
Leveraging Rakuten Group's vast customer and purchase data, as well as user behavior data from web and app platforms, this role involves uncovering marketing opportunities and challenges and conducting data analysis to support the development of new marketing initiatives.
Beyond data analysis, the scope of work is broad—another unique aspect of the CMO Office.
You will have opportunities to engage in areas beyond traditional data analytics, such as planning marketing campaigns and implementing and operating marketing automation tools.
Main ResponsibilitiesKPI monitoring and hypothesis testing
Data management for strategic projects
Cross-functional marketing support
Mentoring and development of team members
Advanced analytics utilizing AI
Career Path After Joining
After gaining experience in data analysis from a group-wide perspective at Rakuten, there is potential to pursue diverse career paths, including contributing to service and product improvement as a data specialist or generalist across various businesses and services beyond the current organization.
Team Composition Ratio in the Data Team
New graduates (including internal transfers): 60%
Mid-career hires (from consulting firms, system integrators, etc.): 40%
Mandatory Qualifications
3+ years of hands-on experience in data analysis using SQL (e.g., Google Big Query)
3+ years of experience in web analytics tools such as Google Analytics and Adobe Analytics
1+ year of team management experience, leading cross-functional data initiatives
Desired Qualifications
Experienced in building dashboards using BI tools
Skilled in data preprocessing and transformation with Python
Conducted in-depth analysis of KPI fluctuations
Proven track record in executive-level reporting, including creating strategic presentations in PowerPoint
[ id:
cmorec cmoo ]
#business #engineer #marketingdiv #dataanalyst #dataanalytics #デジタルマーケティング #DigitalMarketing #CRM
Languages
English (Overall - - Intermediate), Japanese (Overall - - Fluent)
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