IoT & Digital Engineering
Data Analyst - Plant Big Data
|
|
職務内容
|
■Responsibilities:
- Participate in client meetings and discussions to define target requirements
- Study data and current analysis methods
- Select and propose analytical solutions
- Create data visualization using python
■About the project:
- Project includes analysis of plant/ big data (of one of the biggest global automotive companies)
- First phase on project is completed that included summarizing and visualization of data
- Now client intends to utilize Analytical methods for indepth analysis, trend analysis, root cause analysis
■Potential future career path:
- Build expertise in big data analysis
- Improve hands-on knowledge in Project Management and Client Relationship management.
- Future Potential Role: Data Scientist
|
|
登録資格
|
■Minimum qualifications:
- Programming Language : Python
- Data sources and processing : snowflake/snowpark/sql, Web scrapping, Data Cleaning and prepration, Data analysis and exploration
- Stastical knowledge : Probability, statistics, Linear Algebra, Calculus
Languages:
- Japanese: Basic
- English: Business level
■Preferred qualifications:
- Leadership and Team Management
- Experience in Automotive domain
|
|
待遇
|
■Employment status
Regular Employee
Manager/Supervisor classification: Nil (Classifiable depending on the case)
Working hours classification: Deemed working hours system
Category of deemed working hours system: Discretionary labor system for professional work
Deemed working hours per day: 8hrs
■Salary
Annual salary: ~8M yen *will be decided in consideration of candidates’ experiences and abilities.
Discretionary labor allowance: 60,000 JPY - 80,000 JPY
Overtime work allowance: By ordinary (Paid according to overtime working hours)
Salary raise: Yes
Premium: Yes
■Working hours
9:00 - 18:00
(Actual working hrs: 8hrs /Flex time system/ Core time: 10:00 - 16:00)
■Holiday/Leave
Annual paid leave (10 days provided in the first year * Variable depending on joining date), Two days off every week (Sat, Sun), Public holidays, Yearend and new year holidays, Congratulation or condolence leave, and nursing leave.
■Welfare program
Insurance: Medical insurance, Welfare pension, Employment insurance, and Industrial injury insurance
System: Asset-building savings, Company pension, Cafeteria plan (selection-based corporate member welfare service)
* Only regular employee is eligible for Asset-building savings and Company pension.
Facility: Corporate membership facility (Athletic club, Onsen resort house, hotel accommodations, etc.)
|
|
勤務地
|
Onsite / Not remote work
Closest Station: Aikoishida (Kanagawa Pref.)
出社必須のポジションです。
最寄り駅：愛甲石田（神奈川県）
|
|
