Data Engineer Tokyo Job

Job Description

Position Name : Data Engineer Tokyo Job

Annual Salary : 7 Million and Above

Responsibilities:

• Architecture design and data strategy development
• Directing clients' data analysis projects, developing data
• strategies and optimizing projects
• Needs exploration and service planning design based on data analysis Overall
• product design and improvement proposals

Data Engineer Tokyo Job Qualification:

• Practical experience in data analysis for apps and web services. Experience in
• formulating analysis plans and action plans according to purpose. Knowledge
• of statistics.
• Experience with analysis using SQL, R, Python, etc.
• Experience building dashboards using BI tools such as Looker and Tableau

Welcome Requirements 

• Practical experience in data analysis related to consulting Experience
• participating in data competitions (Kaggle, etc.)
• Practical experience in AI development
• Experience designing and developing data pipelines in GCP and AWS environments
• People who are interested in new things and new tasks and can continue to do them. People who are not afraid
• of challenges and can learn from failure in order to make the service a success. People who can think for
• themselves and take action to succeed.

Japanese language : Native level japanese (JLPT N) and business level english.

Company Description

With the mission of "increasing what you can do," we provide a video-based service called it for companies with multiple stores both domestically and overseas. IT is a solution that provides "service tech," which visualizes management issues faced by the service industry and implements solutions, and "execution support" to create results. Currently, more than 600,000 people, mainly in the service industry, especially in companies with multiple locations, are using it. A unique challenge of multi-location businesses is the lack of information between the "management layer" and the "middle layer," and the "field" that is the front line that faces customers, as well as the lack of sales, customer experience, employee satisfaction, etc. between locations. By improving these, we contribute to improving service value and financial results while maximizing human capital.