Intern supporting data - driven product management through AI and data analytics at BMW Group. Contributing to innovative solutions for the development of the BMW brand.
About the role
- Data Analyst in Client Data Management team providing analytics support. Collaborating with teams to enhance data quality and operational efficiency.
Responsibilities
- Designing, developing and maintaining various data and analytics reports in dashboards and secure documentation for developed solutions.
- Supporting interpretation of advanced and predictive analytics data, using specialized software tools and functionalities.
- To capture and analyze data to support decision making, innovation, expert advice and project management.
- Identify opportunities to re-engineer data reporting
- Act as speaking partner in dialogue with different stakeholders
- You will also be handling requests on an ad-hoc basis through our internal ticketing system, Jira, so prioritization and being able to spin multiple plates is important. It would be advantageous to have existing knowledge of this system.
Requirements
- You like everything around data and have solid SQL & Python knowledge (for scripting and data processing) as well as foundational ETL understanding.
- Experience with BI tools (Power BI, Tableau & Looker)
- Any experience in Public Cloud (GCP preferred)
- Previous hands on experience in relevant field will be considered as an advantage.
- Outgoing & positive team player
- Demonstrating outstanding problem-solving skills
- Great communication skills and fluency in English. Work execution is related to foreign countries.
- The successful candidate is familiar with working in an analytical environment and able to understand & analyze processes from risk and operational efficiency perspective
Benefits
- Hybrid work model, combining the best of in-office collaboration with the flexibility of working from home
- Competitive benefit package in addition to your salary (Includes additional days of vacation; profit sharing program, pension contribution, health insurance after probation and other)
- A flat hierarchy and openness to share ideas, opinions and points of views
- International working environment
- Opportunities to grow your data and AI skills through Business Services learning paths.
- Opportunities to support your professional and personal development and growth.
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