Jobs bei Bosch in Deutschland

About

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Employment type: Unlimited

Working hours: Full-Time

Joblocation: Gerlingen

As a Business Intelligence and Analytics JMP, you will support our specialist departments in making decisions on current topics and in analyzing and identifying potential improvements to manage business processes.

Over the course of 12-24 months, you will work in predominantly commercial positions in Germany and abroad and open up new perspectives for the specialist departments on complex issues - such as determining market trends and forecasts - by contributing statistically sound, model-based deep-dive analyses. In order to manage operational processes in a data-driven and more efficient way, you will work with the specialist departments to develop customized micro-solutions based on the latest machine learning solutions.

Together with us you lay the foundation for your future as a manager. For us, leadership means continuously advancing yourself and other people, influencing existing processes and thus achieving challenging, entrepreneurial, and meaningful goals.

What Awaits You

• Flexible starting date all year round and a permanent employment contract
• Individual program length and design your program in agile product areas, corporate start-ups or classic line organizations with a wide range of workshops and trainings
• Composition of the trainee program from 4-6 stations in different business units and cross functional departments
• One station abroad worldwide within the Bosch Group
• Deep dive in day-to-day business and projects
• Preparation for a global management role with your personal career mentor from top-management within Bosch
• Personality: You are passionate about driving forward the digitalization of our business and product areas. You see yourself as an entrepreneur and enjoy turning large amounts of data into valuable insights. You enjoy inspiring other people. You consider courage, openness, tolerance and mindfulness to be attitudes worth striving for.
• Background: You have completed your master's or diploma degree in business administration, economics, mathematics/statistics, (business) informatics or a comparable degree with above-average grades. You may already have an MBA, PhD or some professional experience.
• Experience and know-how: You have international experience of at least three months and practical experience through relevant internships in the application of data analytics, data science or data mining as well as machine learning methods. You are proficient in handling large amounts of data using various tools - all programming languages are welcome, especially R, Python, SQL and Java or Javascript. You also have a very good command of English and a good command of German.
• Work-life balance: Flexible working in terms of time, place and working model.
• Health & Sport: Wide range of health and sports activities.
• Childcare: Intermediary service for childcare services.
• Employee discounts: Discounts for employees.
• Room for creativity: Space for creative work.
• In-house social counseling and care services: Social counselling and intermediary service for care services.
  
  

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

Nice-to-have skills

• Python
• R
• JMP
• Forecasting
• Machine Learning
• Training
• Data Mining
• Leadership
• SQL
• Entrepreneurship
• Data Science
• Management
• JavaScript
• Java
• Business Process
• Data Analysis
• R
• Python
• SQL
• Java
• JavaScript
• Data Analytics
• Data Science
• Data Mining
• Machine Learning
• Gerlingen, Baden-Württemberg, Germany
  
  

Work experience

• Business Intelligence
• Data Scientist
  
  

Languages

• German