Data Analyst | Data Services

Released time: 2026-05-29 21:18 Location: Japan and South Korea Salary: 7-12 million

Business Overview
Teams that use multiple pieces of big data, led by credit card data, to tackle government and local government issues.
Specifically, the data analysis and generation of AI by government agencies are related to the use of bidding cases and the use of alternative data for local governments, leading to the grasp of economic trends and tourism and consumption analysis.

[Details of work]
• Data analysis based on issues to support data-driven decision making
· Works with clients and internal stakeholders to provide problem-solving insights
Leverage complex datasets to advance a wide range of business from analysis to recommended actions
requirements
Practical experience as a data analyst and working with clients
2 or more people with project management experience (excluding company projects)
Business Grade Japanese Proficiency
Experience with model building and predictive analytics
preferred experiences
Master's degree or equivalent in the social sciences (e.g., science or economics)
Experience in processing person-based data (consumer behavior, customer data, etc.)
· Experience working as a data scientist in advanced model building and predictive analytics
Data engineering and data infrastructure experience
We are looking for
· Ability to develop customer-oriented
Frequently think about what the customer wants, and thereby reverse the prioritization of development.
· Ownership of product growth
Treat product growth as your own business and be passionate about delivering value to your customers through your products.
As long as it is for the growth of the product, you can not stick to theAreas of responsibility for themselves, actively contributing to things beyond their own responsibilities.
· Leads others to move things forward
When solving a problem, not solving it alone, but advancing with the members around you.
Is able to prioritize team outcomes over own outcomes.
Curious and eager to learn
Learning in the field of engineering is self-evident, and you can greedily enter all kinds of knowledge required for product improvement.
What you learn doesn't end there, it can be applied to your business.
· Ability to be vulgar and detail-oriented
For clean data and valuable analysis, every corner of the data can be carried out meticulously and meticulously.

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