Hiring.Camp

Data Analyst - CMO Office, Marketing Division

Rakuten

·

Today

Location
Futakotamagawa Rise Office, Japan
Type
Full-time
Department
Marketing
Experience
3+ years
Source
Workday

Description

Job Description:

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. 

 

Position: 

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 Details 

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. The mission is to identify challenges and formulate strategies across the marketing domain of the entire Rakuten Group. 

 

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. The variety and scale of accessible data are unique to the cross-functional nature of the CMO Office. To enhance the resolution of user insights, qualitative research such as user interviews is also incorporated into the analysis. 

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 Responsibilities 

1. KPI monitoring and hypothesis testing 

2. Data management for strategic projects 

3. Cross-functional marketing support 

4. Mentoring and development of team members 

5. 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. 

  

Work Environment 

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 - 2 - Intermediate), Japanese (Overall - 4 - Fluent)

Skills

PythonSQLGoogle AnalyticsStrategic Planning

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