Rakuten

Rakuten

Data Analyst (Rakuten Mobile business) - UX Strategy Section, Brand Marketing Strategy Department, Marketing Division

Company

Rakuten

Role

Data Analyst (Rakuten Mobile business) - UX Strategy Section, Brand Marketing Strategy Department, Marketing Division

Location

Japan

Job type

Full time

Posted

7 months ago

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Salary

Not disclosed by employer

Job description

Job Description:

Business Overview

The Marketing Division leads brand, creative, marketing, and membership as a cross-group organization with a mission to expand Rakuten Group's membership value and ecosystem of over 70 services.

We believe that the mobile domain is a platform that plays a fundamental role in the ecosystem, and as the Marketing Division, we are further promoting collaboration with Rakuten Mobile.

Department Overview

UX Strategy Section manage end to end user journey of Rakuten Mobile business including online and offline. By conducting UX research and designing product UX, like mobile App, we try to improve wide variety of touchpoints in our business.

https://corp.mobile.rakuten.co.jp/english/

Position:

Why We Hire

To expand organization for further growth of our mobile business. We have wide variety of data, like cookie, ID, survey data and you can analyze data deeply utilizing those and find growth drivers.

Position Details

  • Data Analytics
  • Data visualization
  • Implementing measurement environment
  • Creating presentation deck

Work Environment

In our team, UX Specialists from various countries and background work closely as one team. As a UX specialized team, we manage comprehensive UX in Rakuten Mobile service including online and offline.

Mandatory Qualifications:

  • Experience in data analysis or web analytics, and data visualization
  • Strong knowledge of KPI
  • Knowledge of SQL
  • Strong communication and interpersonal skill
  • Logical thinking and problem-solving skill
  • Proficient Japanese language capability is required

Desired Qualifications:

  • Degree or equivalent experience in Computer Sciences
  • Statistics, Machine Learning & Artificial Intelligence
  • Physics, Mathematics, or a related discipline
  • Experience managing projects in large-scale and complex organizations

Other Information: 

Additional information on English Qualification 

TOEIC score of 800 or above. English proficiency for business conversation would be a plus. 

[ id: cmorec bmd ] #marketingdiv #UX

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