G Talent

★Senior Data Scientist (Analytics Engineer) | Featured Fintech Startup

* Business Japanese REQUIRED (N1 Level)

 

★Hybrid Work

★Own Products/Services

★Life Support & Learning Support

★Annual salary: 9 million yen - 12 million yen

 

\-------------【About the company】-------------

 

A University of Tokyo-born startup leveraging big data and generative AI to support data utilization and digital transformation (DX), primarily for major enterprises.

The company operates businesses that support corporate decision-making by utilizing various alternative data—such as credit card data, POS data, and location data—as well as businesses that facilitate decision-making across society through data infrastructure construction support and generative AI development.

 

■Services & Solutions Offered

・Institutional Investor Analytics: Data analytics services utilizing POS and credit card transaction data.

・JCB Consumption Trend Index: Industry-by-industry consumer spending indicators built on JCB card payment data.

・Nikkei Daily Price Index: Daily inflation and price tracking metrics powered by Nikkei POS data.

・HRog Recruitment & Wage Indices: Job posting and offered wage indices derived from HRog recruitment advertising data.

・Commercial Real Estate DX Services: Data utilization and digital transformation solutions tailored for commercial real estate.

・Enterprise DX Solutions: AI- and data-driven end-to-end DX implementation services for corporate clients.

・Public Sector & Local Government Solutions: Analytics and Generative AI-powered solution services for public administration and municipal entities.

・Led by a "Snowflake Data Superhero":

The company's technology strategy is spearheaded by its VP of Data & AI, who holds the prestigious "Snowflake Data Superhero" designation—a globally recognized elite tech leader status awarded to only 128 individuals worldwide (and just 15 in Japan) for FY2026.

 

\-------------【 Job Description】-------------

 

■Recruitment Background

Since its inception, the company has operated as an expert data team, supporting strategic decision-making and building data infrastructures leveraging a wide variety of alternative data.

The scope of support spans multiple domains, with specialized business units providing tailored value to distinct client segments. By combining and synthesizing various alternative datasets, the company delivers a diverse range of data products and services, including:

・Institutional Investor Services: Providing revenue forecasting and price trend analytics for individual companies, tailored for global institutional investors.

・National Economic Analytics: Generating highly accurate statistical insights to support key public and national institutions in Japan.

・Commercial Real Estate Intelligence: Delivering strategic market analytics, including competitor research, local spending rates, and market share estimations.

As these core businesses experience steady growth, the company is accelerating its scale. To expand its analytical capabilities and deliver high-value insights, the organization is actively recruiting Senior Data Scientists (Analytics Engineers).

 

■Role Overview

By leveraging unique and diverse datasets that traditional economic indicators and market research cannot capture, the company empowers strategic decision-making across a wide range of industries, including real estate, retail, and financial services.

In this role, Analytics Engineers go beyond basic data analysis. They take end-to-end ownership across the entire data lifecycle—ranging from statistical analysis and data platform engineering to product development and enterprise client implementation.

 

You will be expected to be assigned to one of the following business units based on your background and preferences:

\*Specific team placement will be determined through mutual consultation, taking into account your experience and career goals.

 

1\. Financial Research Business

Serve as a data analysis specialist by leveraging POS, credit card, and other alternative datasets. Key initiatives include:

・Developing revenue trend indices for individual listed companies for institutional investors.

・Building private-sector statistical models for public sector entities.

・Leading data analytics and research projects for government agencies, focusing on data utilization and Generative AI integration.

・Driving regional economic analysis, tourism insights, and consumer spend tracking for local government municipalities.

 

2\. Data AI Service Business

Accelerate enterprise digital transformation (DX) across sales, product development, and data utilization by combining cutting-edge Generative AI technology with proprietary corporate master databases (boasting class-leading coverage in Japan) and diverse third-party datasets.

This division consists of two primary service pillars:

 

①Real Estate Unit

A business unit providing a suite of data-driven SaaS products primarily for the real estate domain. Leveraging a proprietary Data × AI stack, the unit delivers enterprise-grade products focused mainly on major property developers.

Office Sales (Commercial Real Estate Lead Generation):

A sales support service that utilizes AI and Big Data to identify companies with a high probability of office relocation.

 

②Data Holder Unit

A strategic initiative aimed at sophistication and modernization of corporate credit assessment and underwriting operations for financial institutions.

By unifying fragmented internal systems using corporate registration numbers as primary keys and integrating diverse third-party datasets, the unit constructs data platforms and scoring algorithms that enable proactive, ongoing credit monitoring—including automated suggestions for credit line increases.

 

■Responsibilities

・Cross-Industry Problem Solving: Solve complex challenges across diverse sectors—from commercial real estate to public policy and local government—using advanced data analytics.

・Real Estate Domain Analytics & Product Integration: Conduct demand forecasting, trade area analysis, and sales targeting analytics, converting derived insights into proprietary product features.

・Data Engineering & UI/UX Collaboration: Develop data marts and execute backend engineering, collaborating closely with software engineers and product designers to design user-centric interfaces.

・Public Sector Decision Support: Deliver data-driven policy recommendations and strategic insights for central government agencies and local municipalities to drive evidence-based decision-making.

 

■Position Highlights

・Data-Centric Organization

・End-to-End Product Ownership

・High-Growth Phase × Cutting-Edge Data SaaS

・High Autonomy & Continuous Skill Expansion

・Enjoy substantial decision-making freedom over data strategy and product architecture while continuously expanding technical capabilities across data engineering, machine learning, and product management.

・Direct Access to Generative AI & Next-Gen Technologies

・Stimulating & Collaborative Team Environment

 

\-------------【 Requirements】-------------

 

Required

Practical experience as a data analyst, including client-facing and collaborative work

Experience analyzing structured data and building machine learning models using Python

Experience with the full analytical process—from identifying issues to proposing solutions—including requirements definition and the creation of analytical reports

Experience leading multiple analytical projects and driving problem-solving in collaboration with clients and teams

Business-level Japanese proficiency (capable of negotiating with clients and coordinating internally and externally)

 

Preferred

Master’s degree in science or engineering, or equivalent experience

Experience collaborating with clients on multiple projects to drive problem-solving

Experience working with people-based data (e.g., consumer behavior, customer data)

Experience as a data scientist engaged in advanced model building and predictive analytics

Experience in data engineering and building data infrastructure

Experience building dashboards using BI tools (e.g., Tableau, Looker)

Practical experience with MLOps (operation and management of machine learning models)

Experience in backend development for web applications and similar systems

 

Ideal Applicants

・Customer-Centric Engineering

・Product Ownership & Passion

・Proactive Beyond Role Boundaries

・Collaborative Leadership & Team-First Mindset

・Intellectual Curiosity & Practical Learning

・Rigorous Attention to Detail

 

\--------------------------------------------------

 

【Working Time 】

10:00～19:00

 

【 Welfare 】

・Full social insurance

・Incentive (trust-type SO) system available

・Commuting allowance

・Visa support

・No smoking indoors

 

Life Support

・Marriage leave and congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) are provided for marriages.

・Parental leave and congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per baby!) for the birth of a child. (500,000 yen per baby!!!)) are provided for the birth of a child.

・Support for congratulatory and mourning occasions: Special paid leave (3 to 7 days) is provided for marriage, childbirth, and of course, in case of any misfortunes that may occur.

・Consecutive vacation days: In addition to paid leave, employees are allowed to take 5 consecutive days off.

・Allowance for dependents: Up to 100,000 yen per month per person depending on the number of children before elementary school age

 

【 Holiday 】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

・Parental Leave

・Congratulations & Condolence Leave

・Summer Holiday

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Data

Data analytics

Support

Machine Learning

Project management

Analysis

Research

Data Engineering

FinTech

Tableau

Big Data

Python

Problem solving

SaaS

Forecasting

Infrastructure

Algorithm

Software Development

Database

Back-End

Team collaboration

Market research

Payment systems

Lead generation

Operations

Ux writing

Internet Advertising

Enterprise Development

Growth

Web Development

Generative AI

SQL Server BI

MLOps

Looker

Statistical Analysis

Data architecture

Predictive Analytics

Data Visualization

Interface Design

Data Management

【★Senior Data Scientist / Analytics Engineer】Alternative Data & GenAI DX / Hybrid / JLPT N1 Level～