Using “diverse and unique data” that cannot be captured by traditional economic indicators and market research, Naucast provides decision support to clients in a wide range of industries such as real estate, circulation, finance, etc.
Analytical engineers are not just analysis, but are responsible for data analysis, data foundation preparation, product development to import support and other work at once.
Specifically, imagine assigning to one of the following careers.
※ Allocation units within the company will be determined in consultation with you based on your experience and wishes
① New products for commercial real estate, store business (DataLensHub series)
New businesses such as "DataLens Commercial Leasing", "DataLens Business Circle Analysis", and "DataLens Store Development" began to be offered in March 2024, and sales are currently expanding.
While continuously updating "DataLensHub" with new 3rd party data and generative AI technology, it is also considering business outside the commercial real estate business.
https://nowcast.co.jp/news/20250205/
DataLens Store Development
Store development DX tool that combines business district analysis functions based on third-party data such as traffic data and payment data with our company-generated AI technology
https://lp.datalenshub.com/ja-jp/property
DataLens office open
Use AI and Big Data to identify “office moves”Sales support services for businesses with a high likelihood of relocation "
https://lp.datalenshub.com/office
② Index development, analysis and generation of AI application solutions for institutional investors and the public sector
Use POS data and credit card data, etc., to develop individual stock sales trend indices for institutional investors, private statistics for the public sector, and data analysis in government investigation and analysis businesses related to AI generation and data analysis as experts.
In addition, the use of alternative data for local governments to grasp economic trends, leading tourism, consumption analysis, etc.
③ Corporate Credit DX Solution for Financial Institutions
The "corporate credit business" advanced project of financial institutions.
By integrating the information divided in the existing system with the legal person number and combining it with third-party data, a data foundation algorithm for active development credit such as "limit increase support" is constructed.
[Details of work]
Support problem solving in a wide range of industries from real estate enterprises to government agencies and local governments through data analysis
In the real estate field, implement demand forecasting, business district analysis, business list production and other analysis, and apply knowledge to DataLens store development and other products
· Responsible for data market development and back-end installation, promoting UI design in cooperation with engineers and designers
· Implement data-driven decision support and action proposals in government agencies and local governments to provide insights to address issues
requirements
As a numberBased on the analyst's actual work experience, as well as the client's work and collaboration experience
Analyze structured data and build machine learning models with Python
• Experience with a range of analytical processes from topic extraction to action proposals, including defining requirements and writing analytical reports
· Experience leading multiple analysis cases and working with clients and teams to advance problem solving
· Business level Japanese proficiency (ability to deal with customers, internal and external coordination)
preferred experiences
Have a master of science degree or equivalent
· Experience working with clients on multiple projects to advance problem solving
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
Build dashboards with BI tools (Tableau, Looker, etc.)
MLOps (Machine Learning Model Operations and Management) Work Experience
Back-end development experience such as web applications
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 actively contribute to things other than your own responsibility.
· Leads others to move things forward
atWhen solving a problem, it is 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.
working conditions