【Dev】Analytics Engineer (SaaS Business)

[About the Company]

The company's mission is "to advance humanity by reinventing the mechanisms of value creation" and aims to create an environment where people can focus on creating new value through the use of natural language processing and AI technologies.

AI delivers information directly related to business operations, thereby enhancing the information sensitivity of the organization. In addition, the company offers two SaaS products: "Anews," which encourages the conception of business ideas and their development within the organization, and "Astrategy," a market research service that provides suggestions by structuring necessary information according to the organization and its operations.

Currently, its main target is major manufacturing R&D in Japan, and more than 30% of the Nikkei 225 companies have already adopted the system. In the future, starting with manufacturing R&D, the company plans to expand to domestic enterprise companies, then to Japanese companies as a whole, and even to global companies.

The company completed a Series C financing of 1.1 billion in August 2022.
In February 2024, they were selected for the "GENIAC (Generative AI Accelerator Challenge) Project" promoted by the Ministry of Economy, Trade and Industry and NEDO, and have begun to develop their own LLM with 100 billion parameters!
The company has grown to 100 employees and is looking for more personnel to achieve further growth!

【Job Description】 

【Company Overview】
The company supports the corporate transformation of many companies by utilizing cutting-edge generative AI technology under the mission of “Reinventing the mechanism of value creation and advancing humanity.

The company operates “Anews,” a one-stop search engine for internal and external information, and “SAT (Stockmark A Technology),” a system for structuring all types of data and turning them into corporate assets. It also supports the development of company-specific generative AI and the construction of proprietary systems.

Currently, the main target is major manufacturing R&D in Japan, which already accounts for 30% of the Nikkei 225 and has been introduced in over 250 companies. In the future, the company plans to expand from manufacturing R&D to domestic enterprise companies, to Japanese companies as a whole, and even to global companies.

In addition, they are also focusing on research and development of a purely domestic LLM that is strong in the Japanese language and business domain, and have released their own LLM with 100 billion parameters in May 2024!

In October 2024, the company completed its Series D funding round, raising 4.5 billion yen and bringing the total funding to 8.8 billion yen.
With the team now exceeding 100 members, the company is actively hiring to drive further growth!

【Current Issues】
Since its establishment in May 2023, the Data Intelligence Unit has been promoting data utilization across the company and has successfully built a state where data is regularly leveraged throughout the organization.

However, as data utilization has become more active, there is now a growing demand for higher data accuracy and more efficient usage. Meeting these needs requires engineering expertise. Currently, the team consists of a leader and one analyst, who divide engineering tasks depending on the situation—but this setup is not sufficient to fully address the growing demands.

Therefore, the company is looking for someone who can help establish a stable and scalable data infrastructure from an engineering perspective.

【Your Role】
The company is looking for an engineer who can drive internal data utilization for the AI SaaS product Anews. You will be responsible for the entire workflow—from designing data tracking, maintaining the data infrastructure and ETL pipelines, to developing data warehouses and data marts for efficiency, and supporting real-world data utilization scenarios. Your role will focus on achieving both high accuracy and efficient operations.

Anews is an information-centric service with a relatively simple data structure, which means the underlying data infrastructure is also fairly straightforward. Rather than building large-scale, complex data pipelines, this role emphasizes the ability to quickly and flexibly utilize existing data.

■Responsibilities
Support internal data analysis and utilization
Create SQL queries and dashboards
Develop and maintain internal tools that utilize data
Manage ETL operations using trocco
Design user behavior tracking
Operate the data analytics infrastructure (BigQuery) and BI tools (Redash)
Develop data warehouses and data marts
Provide data-related support for R&D of new features
*Note: Subject to change within the scope of development-related tasks.

【Team Structure】
Data Intelignece Unit
Leader: 1, Data Analysts: 2

【Development Environment】
・BI tools: Redash, Google Spreadsheet
・Data analysis platform: BigQuery
・ETL tool: trocco
・Documentation tool: Notion
・Communication tool: Slack
・Generative AI: Azure Open AI Service, in-house developed LLM
・Behavioral analysis: Wicle

【Position Highlights】
・Engage in a socially impactful and challenging mission of driving innovation within Japanese enterprises through data
・Collaborate closely with an experienced data analyst to accelerate data utilization across the company

【Working conditions & treatment】

■Salary increase (twice a year / May and November)

【About remote work】
■Basically, fully remote work
　Residence must be in Japan (no full remote work while residing overseas)
■Flexible remote/working options (no restrictions on the number of times you can come to the office)
　Each employee works while using the system according to his/her own circumstances.

There are people who work full remotely from Sendai, Kyoto, Osaka, etc., people who enjoy working while on vacation, foreign nationals who return to their home countries for a few weeks to work, and people who mainly come to work, making for a diverse work style.

【Welfare】
■Customer facing allowance (flat monthly amount of 20,000 yen *included in monthly salary)
　Free use for self-improvement and customer value improvement
　(purchase of books/attendance at seminars/equipment, etc.)
■Lump-sum allowance for preparation for remote work (flat rate of 50,000 yen in the first paycheck)
　Provided as an expense for preparation for remote work

【Others】
■Periodic health checkups (all paid by company)
■Influenza vaccination
■PC of your choice provided
■Free drinks such as water/coffee/carbonated drinks/alcohol provided at the office
■Office Glico installed

【Education and Skill Development】
■Onboarding for 5 days after employment is available
■Monthly study day system (for own skill improvement and learning purpose)

【Internal Communication】
■Weekly company-wide online meeting
■Monthly social gathering (offline, some online)
■Semi-annual kick-off (hybrid of online and offline meetings)

【Holidays and Vacations】
■123 days off per year
■Saturdays, Sundays and national holidays (2 days off per week)
■Year-end and New Year vacations
■Paid leave (granted at the time of employment *Number of days granted depends on the month of employment)
■Prenatal leave
■Childcare leave

【Required】
*Meet all of the following
・3+ years of data engineering experience as a backend engineer, infrastructure engineer, or data engineer
・Hands-on experience in building and operating data analytics infrastructure, including creating dashboards
・Practical experience using SQL in a professional setting
・Experience negotiating requirements and specifications with internal or external stakeholders

【Preferred】
・Practical experience in data modeling
・Specialized knowledge or professional experience in security
・Experience developing ETL systems
・Experience in data analysis
・Knowledge of statistics or data science