Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
In just six years since its release, the mainstay service has achieved phenomenal growth, with more than 9 million workers (as of September 2024) and more than 136,000 companies (as of September 2024) having adopted the service. However, the company's goal is even higher: to establish itself as a social infrastructure. Currently, the service is used by only a small portion of the workforce, but its potential is immeasurable. The challenge to fulfill its role as social infrastructure is just beginning.

In order to realize this larger vision, it is essential to build a business foundation that is data-centric. The company is committed to promoting data-driven decision-making within the company and contributing to business growth through data analysis for all areas of the business.

Currently, the company is looking for a data analyst to play a core role in achieving these goals and making spot work a new social infrastructure.

【Responsibilities】
You will work as a data analyst in the company's data analytics department. In this position, you will work closely with business units, product teams, and marketing teams to analyze a wide range of data, including service data, advertising data, SFA/CRM data, and results of in-house surveys. Based on the insights gained from the analysis, you will be responsible for leading the decision-making process for each project by involving each stakeholder.

Log data analysis to identify business issues and improve services
Forecasting future trends through analysis
Analysis of survey data and qualitative data
Design and verification of effectiveness testing, including A/B testing
Identification of business levers through causal inference and causal search methods

【Organizational Structure】
Consists of the following three units
Product Analytics Unit (analysis related to functional development of products)
Marketing Analytics Unit (analysis related to marketing)
Business Analytics Unit (analysis related to management and business activities)  
*Transfers between units are possible after assignment.

<Product Analytics>
You will be responsible for proposing and discussing what opportunities exist to deliver new value to service users, both ToB and ToC, based on the suggestions obtained from data analysis.

<Marketing & Business Analytics>
You will not only identify current business issues, but also predict possible future problems and lead what is needed to solve them in a way that accompanies the relevant departments and decision makers.

【Features of the Data Analytics Department】
Many of the members are ambitious, and study sessions are held approximately two to three times a week throughout the Data Analytics Department. Study sessions across the department are also held, and since you can freely participate in them, there are many opportunities for you to learn about your own areas of interest. (Reference article: “Introducing Study Groups for Data Analysts!)
There is a system to support growth so that each individual can work autonomously to improve their technical skills. *Refer here for more information on TDE10 initiatives.
Flextime x remote work is available, so you can choose the environment in which you can focus on your own work.  *There is a system that supports the optimization of each employee's home environment for remote work.
The company aims to be an organization with a high level of psychological safety, and provides an environment in which it is easy to express one's opinions. (*Refer to the article “Study Session on Psychological Safety Held”)
A data warehouse is maintained on a data infrastructure, and data quality is managed by a team of data engineers, creating an environment in which data analysts can concentrate on analysis.
Many employees, including management, understand the importance of data and are very supportive of the work.
The company values fully understanding the issue background and clarifying the analysis needed to solve the issue while also emphasizing what actions the analysis results will lead to.

【Attractiveness of working as a data analyst for the company】
Because you have access to the core issues of the company, you can make direct analytical proposals regarding management issues. You can also discuss with the representative director, and make analytical proposals from a position close to the management.
While there are times when we make analytical proposals for issues in collaboration with the field, it is also possible for data analysts to make analytical proposals for issues in the field.
As a data analyst, you will be able to work while considering how to create products that contribute to deep-seated social issues.
Authority over analytical methods is delegated to the members assigned to you.
The company values the importance of fully understanding the background of the issue, clarifying the analysis necessary to solve the issue, and what actions will be taken based on the analysis results.

【Data handled】
Access logs of application users
Various data related to recruitment and matching
Geospatial data
Review information and evaluation data
Advertising data
Data on inquiries to customer support
Data related to sales activities through SFA/CRM tools
Questionnaire and survey data
Human resource data

Required Skills and Experiences

【MUST】 Experience using SQL or Python to perform analysis and solve business problems Ability to set the problem to be solved and build hypotheses to address the problem Basic knowledge of data infrastructure, DB, and DWH Knowledge of statistics such as estimation and testing (equivalent to level 2 or above of the Statistics Test) 【WANT】 Experience with BI tools such as Looker, LookerStudio, Tableau, PowerBI, etc. Understanding of effectiveness testing methodologies such as A/B testing, DID, propensity score matching, RDD, etc. Experience driving multi-person analytical projects Experience designing and building DBs, DWHs, and data marts Experience in marketing at a business enterprise Experience designing and operating Salesforce as a system administrator Experience managing 5 or more members

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Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.


<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Application Screening → 1st Interview (Mg or above) → 2nd Interview (Technical Manager) → Final Interview (CTO)

The selection process is subject to change.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
In just six years since its release, the mainstay service has achieved phenomenal growth, with more than 9 million workers (as of September 2024) and more than 136,000 companies (as of September 2024) having adopted the service. However, the company's goal is even higher: to establish itself as a social infrastructure. Currently, the service is used by only a small portion of the workforce, but its potential is immeasurable. The challenge to fulfill its role as social infrastructure is just beginning.

In order to realize this larger vision, it is essential to build a business foundation that is data-centric. The company is committed to promoting data-driven decision-making within the company and contributing to business growth through data analysis for all areas of the business.

Currently, the company is looking for a data analyst to play a core role in achieving these goals and making spot work a new social infrastructure.

【Responsibilities】
You will work as a data analyst in the company's data analytics department. In this position, you will work closely with business units, product teams, and marketing teams to analyze a wide range of data, including service data, advertising data, SFA/CRM data, and results of in-house surveys. Based on the insights gained from the analysis, you will be responsible for leading the decision-making process for each project by involving each stakeholder.

Log data analysis to identify business issues and improve services
Forecasting future trends through analysis
Analysis of survey data and qualitative data
Design and verification of effectiveness testing, including A/B testing
Identification of business levers through causal inference and causal search methods

【Organizational Structure】
Consists of the following three units
Product Analytics Unit (analysis related to functional development of products)
Marketing Analytics Unit (analysis related to marketing)
Business Analytics Unit (analysis related to management and business activities)  
*Transfers between units are possible after assignment.

<Product Analytics>
You will be responsible for proposing and discussing what opportunities exist to deliver new value to service users, both ToB and ToC, based on the suggestions obtained from data analysis.

<Marketing & Business Analytics>
You will not only identify current business issues, but also predict possible future problems and lead what is needed to solve them in a way that accompanies the relevant departments and decision makers.

【Features of the Data Analytics Department】
Many of the members are ambitious, and study sessions are held approximately two to three times a week throughout the Data Analytics Department. Study sessions across the department are also held, and since you can freely participate in them, there are many opportunities for you to learn about your own areas of interest. (Reference article: “Introducing Study Groups for Data Analysts!)
There is a system to support growth so that each individual can work autonomously to improve their technical skills. *Refer here for more information on TDE10 initiatives.
Flextime x remote work is available, so you can choose the environment in which you can focus on your own work.  *There is a system that supports the optimization of each employee's home environment for remote work.
The company aims to be an organization with a high level of psychological safety, and provides an environment in which it is easy to express one's opinions. (*Refer to the article “Study Session on Psychological Safety Held”)
A data warehouse is maintained on a data infrastructure, and data quality is managed by a team of data engineers, creating an environment in which data analysts can concentrate on analysis.
Many employees, including management, understand the importance of data and are very supportive of the work.
The company values fully understanding the issue background and clarifying the analysis needed to solve the issue while also emphasizing what actions the analysis results will lead to.

【Attractiveness of working as a data analyst for the company】
Because you have access to the core issues of the company, you can make direct analytical proposals regarding management issues. You can also discuss with the representative director, and make analytical proposals from a position close to the management.
While there are times when we make analytical proposals for issues in collaboration with the field, it is also possible for data analysts to make analytical proposals for issues in the field.
As a data analyst, you will be able to work while considering how to create products that contribute to deep-seated social issues.
Authority over analytical methods is delegated to the members assigned to you.
The company values the importance of fully understanding the background of the issue, clarifying the analysis necessary to solve the issue, and what actions will be taken based on the analysis results.

【Data handled】
Access logs of application users
Various data related to recruitment and matching
Geospatial data
Review information and evaluation data
Advertising data
Data on inquiries to customer support
Data related to sales activities through SFA/CRM tools
Questionnaire and survey data
Human resource data

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.


<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Application Screening → 1st Interview (Mg or above) → 2nd Interview (Technical Manager) → Final Interview (CTO)

The selection process is subject to change.

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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