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About the role
Data Analytics Specialist at Bosch Group
Required Skills
pythonrsqlai/mldata analyticsdata governancegitmachine learning
About the Role
This is a Data Analytics Specialist internship at Bosch Japan where you'll work with real marketing and vehicle data, contribute to data-driven projects supporting sales and marketing decisions, and explore AI models to enhance data governance. You'll gather practical experience in a dynamic team environment at a global automotive equipment supplier.Key Responsibilities
- Work with real marketing and vehicle data to ensure databases are complete, consistent, and high quality
- Contribute to data-driven projects (data extraction, analytics) that support sales and marketing decisions
- Explore and develop AI models and algorithms to enhance data governance activities
- Gather practical and on-the-job experience with a mix of day-to-day operations and projects
- Work in a dynamic team environment for a global automotive equipment supplier
Required Skills & Qualifications
Must Have:
- Student in Analytics, Statistics, Computer Science, Engineering, or other quantitative fields
- Strong foundation in data analytics and AI application
- Structured and analytical mindset able to deep-dive into complex data problems
- Fluent English required
- Be able to stay for a period of 6-12 months at the company
- Be regularly enrolled at a university during the entire internship period
Nice to Have:
- Intermediate Japanese or Chinese language ability
- Understanding of data management and governance (data modeling, data integrity, handling large datasets)
- Hands-on experience with Python or R for data processing, ML, or automation
- Experience with database SQL
- Basic experience with machine learning frameworks or generative AI APIs
- Familiarity with version control (Git) or workflow automation tools
Benefits & Perks
- Competitive monthly net allowance of 200,000 Yen on a full-time scheme
- Reimbursement for commuting costs
- Assistance with Designated Activities visa application process