• Full-time

Publication date: 2024.08.28

Company name not disclosed

12398 [Major trading company group] Data Analyst

  • R&D / Engineer /Technician (AI, Data)
  • Tokyo
  • Salary ¥8M - ¥16M
12398 【大手総合商社グループ】データアナリスト
職種Position R&D / Engineer /Technician (AI, Data)
会社概要Company profile [Company Profile]
It is a company established as a group of experts in utilizing advanced technology to realize and accelerate DX (digital transformation) of a major general trading company group. The company provides technology development functions and digital infrastructure for problem setting, planning, demonstration experiments, and realization to solve business and social issues and promote new business development in various global business areas. Since they propose DX to nearly 1000 group companies, they can play an active role in a wide range of fields such as media, healthcare, manufacturing, retail, infrastructure, resources, transport aircraft, construction machinery, and real estate.
仕事内容Job description [Recruitment background]
They are promoting many projects centered on the diverse business fields of a major general trading company, and are replenishing otheir workforce in anticipation of future business expansion.

[Job description]
You will be responsible for the following tasks in the demonstration testing of DX-related business strategies advocated by a major general trading company and its group operating companies.

- Identification of business issues and hypothesis formulation (including customer negotiations)
- Problem setting
- Data analysis design
- Analysis and management

[Examples of projects they have implemented]
- Development of data visualization and analysis infrastructure for manufacturing sites in the manufacturing industry: Scratch development and implementation of a web application for PoC of the service infrastructure.
- IoT service development for outdoor business efficiency: Development and implementation of IoT devices and applications
- Analyze sales forecasting and sales improvement measures for new store openings in the retail industry: Create algorithms and develop and implement visualization tools for the analysis contents.
- Product category classification semi-automation: Development and introduction of category classification algorithm based on text information
- Optimization of product image inspection parameters in the manufacturing industry: Development and introduction of algorithms and tools for parameter optimization etc.


[Development Environment]
■The development environment is selected sequentially depending on the project, but the main ones used are as follows.
■Application environment: Python/JavaScript/TypeScript
└Frameworks: ServerlessFW/Django/Flask
└Frameworks:React/Vue/Next
■Infrastructure: AWS/GCP/Azure
■Configuration Management: Terraform
■Version control: GitHub
■CICD:GitHub Action
■Task management: Wrike
■Chat rules: Slack/Teams
■Business terminal (PC): MacBook


[Internal Atmosphere]
- They have introduced a remote/full-flex time system to create a comfortable work environment, while at the same time emphasizing communication within the company.
- They have introduced remote and full-flexible working hours to create a comfortable working environment, while at the same time emphasizing communication within the company.
応募資格Requirement [Requirements]
- Ability to elicit business issues such as experience, interruptions, and goal setting, and incorporate them into data analysis tasks.
- Negotiate/negotiate with users regarding business requirements, project QCD, etc.
- Ability to negotiate/negotiate with users regarding business requirements, project QCD, etc.
- Technical documentation skills (requirements definition, reports, etc.)
- Presentation skills / business documentation skills (proposals, reports, etc.)
- Experience in statistical and machine learning data analysis
- Experience in building models for data analysis business cases

[Preferred Requirements]
- Business level English skills
- Experience as a consultant in a consulting firm
- Experience with commercial level processors and development
日本語力Japanese level Business
雇用形態Employment type Full-time
勤務エリアLocation Tokyo
勤務時間Working hours 9: 30-17: 45 (scheduled working hours 7 hours 15 m
想定年収Salary ¥8M - ¥16M
条件・待遇Condition [Conditions]
Estimated annual income: ¥8M - ¥16M
* Estimated annual income includes bonuses (twice in summer and winter)
Trial period: 3 months *No change in the working condition and salary
Work location: Basically, full-remote work, but after Corona, there is a possibility that you will work at the office in Tokyo twice a week.
Working hours: 9: 30-17: 45 (scheduled working hours 7 hours 15 minutes)
Flextime: Yes
Overtime: Within 20 hours per month on average
Holidays: Saturdays, Sundays, national holidays * 120 days of annual holidays
Leave: 7 days of year-end and New Year holidays, paid leave (20 days a year, divided by the number of remaining months in the first year)
Social insurance: Health insurance, welfare pension, employment insurance, workers' accident compensation insurance
Commuting allowance: paid based on company regulations
Severance pay: Aveilable
Measures against second-hand smoke: No smoking indoors (smoking room available)
Others: Prenatal and postnatal absenteeism system (6 weeks before and 8 weeks after childbirth), etc.

[Benefits]
■ Commuting allowance: Provided based on company regulations
■ Overtime allowance: Fixed overtime pay (excess is paid separately)
■ Retirement allowance

[Others]
■ Prenatal and postnatal absenteeism system (6 weeks before and 8 weeks after childbirth), etc.
■ Use of external welfare services
■ Flextime system
■ No smoking in the office
選考についてProcess [About selection]
Documents required for application: Rirekisho and Shokumukeirekisho
Online interview: Available * There will be one face-to-face interview until the job offer.
Interview language: Japanese
Number of interviews (flow): Screening process → 1st interview (CEO /Lead Data Scientist interview) → 2nd interview → Final interview → Job offer
Application for overseas residents: Unavailable
* May change depending on the situation of the candidate
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