Data Analyst - Measurement & Insight Section, Analytics Data Engineering Department (ADED)
Job Description:
Business Overview
Rakuten group has almost 100 million customer base 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
Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data & AI activities across our multiple Rakuten group companies.
Position:
Why We Hire
To further expand our business, we are seeking a data analyst capable of providing data analysis and data solutions that meet the needs of our business units.
Position Details
Overview
In this position, you will be responsible for analysis and proposing data solutions to provide data utilization opportunities to business units in the marketing/advertising AI and software business.
Specific responsibilities include, but are not limited to:
- Data analysis
- Data visualization
- Proposing data solutions
Title Data Analyst
Job Level Mid-Intermediate to Senior
Work Environment
Our team is international and diverse, consisting of experienced engineers, business professionals, data analysts, and scientists. The team size is approximately 40 members.
Mandatory Qualifications:
Data Analysis Experience
- Practical experience in data analysis and web analysis
- Knowledge of data science
- Knowledge of statistics
- SQL skills
- Ability to propose data solutions based on identified issues and needs
Fundamental Business Skills
- Python skills
- Excellent problem-solving abilities (critical thinking, logical thinking, hypothesis thinking, etc.)
- Strong professional traits (intrapersonal intelligence, personal impact, leadership, and entrepreneurial drive)
- Excellent communication skills
Language
- Business-level English proficiency
- Business-level Japanese proficiency
Desired Qualifications:
- Degree in computer science or equivalent experience
- Knowledge of statistics, machine learning, and artificial intelligence
#datascientist #technologyservicediv
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