- Career Level Programmer
- Offerd Salary ¥6 - ¥8 Million
- Experience Less than 1 Year
- Number of employee 1
- Gender Required Both
- INDUSTRY Internet & Gaming
- Qualification Associate Degree
- Working Hour 09: 00〜18: 00
- Trial Period 6 months
- Department Assign Network Department Tokyo NW Section
■ Recruitment background
( 1) Reinforcement of environmental optimization accompanying the increase in infrastructure facilities.
Currently, service level management, equipment capacity, and equipment cost management at Saas are becoming more complex and enormous. In order to manage these appropriately and strengthen optimization from the management and business perspectives, a new organization was established.
(2) To form a stronger data-driven organization.
We aim to be an organization that grows businesses, improves internal operations, and solves management issues (decision-making) based on data that grows daily. Originally,We have a culture that emphasizes decision-making based on data, and is active in utilizing data, but there is a shortage of highly specialized human resources in data design and analysis, and both quantity and quality have not kept up.
Therefore, it was decided to recruit human resources who can lead the data business
■ Focus on mission data visualization and analysis technology , optimize the business management of the infrastructure sector that supports all Saas services , and work on a mission that will quadruple productivity.
It is a job that contributes to the management by pursuing optimization in the operation management of people, goods, money and all the equipment that our infrastructure unit handles .
■ Main work
①Technology survey, technology selection, construction, operation / data storage method construction for data infrastructure construction / data utilization infrastructure construction,
data mart construction according to analysis needs,
etc. I will leave it to you.
② Efforts on the following three themes through visualization and analysis of data.
・ Maximum cost-effectiveness through optimal investment
・ Personnel characteristics, the right place for organization according to skill analysis, organizational optimization
・ Promotion of drastic operational improvement through breakdown analysis of labor costs and man-hours
・ Operation of Saas infrastructure facilities Promotion of automation of management
First of all, we will analyze and visualize the breakdown data of labor costs and operations
so that we can visualize the improvement situation and analyze the fundamental issues of the business itself.
In the medium to long term, the following big data within LUX will be used to implement machine learning and AI to practice innovation in the entire business.
・ Access log data of each company service (view, click, scroll)
・ Customer attribute data, customer time-series information
・ Company employee behavior (call history, etc.) data
・ Text data (QA site data, job offers) (Voting data, career data, etc.)
・ Voice data (calls)
■ Organizational structure
assignment: Cloud business headquarters Network department (15 people in Tokyo and 10 in Osaka total)
Group organization: Directly under the head of business department (45 years old, male) It becomes. For the new organization, we will work together with the general manager and work together to establish a new organization.
OS: Linux, Unix , Web: Apache, tomcat , DB: Mysql, PostgreSQL , NW: Firewall (regardless of manufacturer), load balancer (regardless of manufacturer), Cisco , virtual environment (Vmware , Nutanix)
· DevOps related
· AWS construction, operational experience
· OSS design, implementation, operational skills (Elastic Search, Kibana, fluentd, nginx, qmail, Ansible , etc.)
￭ of this position attractive
◎ new Soshikidachi of the first person associated with the increase Recruitment. A rare job full of charm.
・ In order to be hired as a candidate for managers this time, I expect that I will get a job title (Min annual income from 9.51 million yen) in a few years and manage members (to be newly hired in the future).
– You can also select the technical environment from “zero”. For better or worse, the environment is not yet fully prepared. The data base to be accumulated will be developed in-house, but what tools (DWH, BI, data lake, visualization system, ETL, RPA, workflow, etc.) will be introduced when entering the subsequent analysis phase Is it? Or will you develop your own analytical know-how without relying on tools? You can also decide the environment construction by yourself.
◎ Can play an active role as a key person for democratization of company-wide data analysis including proposals for practical use of accumulated data.
◎ You will also acquire management and business skills!
The problem that can be solved by data analysis is solved together with the members of the business division, so the business side can be strengthened,
and the profit analysis related to personnel expenses and management expenses etc. is also performed, so the skill of management viewpoint can be improved can.
◎ Challenge possible from inexperienced! Trendy data analytic
After building the data infrastructure, we will also apply machine learning and natural language processing technology, so we can strengthen data science.
・ System design, construction, and operation phase experience
・ Database design, construction, and operation phase experience
(experience that contributed to business with data analysis skills)
・ Basic SQL skills
・ Data analysis tools
・Data analysis skills by BI
・ Intermediate data analysis methods such as correlation analysis
・ Basic financial knowledge that can read P / L
・ Upstream process of system (requirement definition, non-functional requirements) Skill / big data, machine learning, deep learning, AI knowledge that can be defined and designed)
Full monthly salary
Discretionary labor system & fixed overtime system
– Fixed overtime
– pay basic salary: 393,000 yen to 441,000 yen
– Fixed overtime pay: 61,406 yen to 68,906 yen
– Fixed overtime hours:
Additional wages for overtime work exceeding 20 hours fixed overtime hours: Yes
Treatment conditions / sales bonus
Regardless of overtime work, 20 hours equivalent is paid as fixed overtime, and the portion exceeding 20 hours is paid in full
(once a year / May), bonus (twice a year), commuting allowance
Various social insurance (employment, work-related accidents, health, welfare pension), employee shareholding system, qualification (self-development) incentive system, Keigo Sumika system, childcare / care leave system, position allowance, family allowance, overtime allowance, Late night allowance, holiday work allowance, appointment allowance, business trip allowance, retirement age 60 (with re-employment system)
– Document selection
– Interview (twice)
[Number of annual holidays: 120 days]
2 days a week (Saturday and Sunday), holidays, year-end and New Year holidays (5 days), summer holidays (5 days), paid holidays (varies according to the month of joining, every April Granted 11-20 days), Keio leave, childbirth / childcare / care leave
・ The working conditions, etc. specified in this job offer may differ from the working conditions at the time of conclusion of the labor contract.
・ This job offer includes information that has not been disclosed to the public, so it is prohibited to provide or forward it to third parties.