Data Analyst

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

As a Data Analyst, you will help transform data into actionable insights that enable business teams across countries and functions to make informed decisions. Working in an international environment, you will design reporting solutions, improve data quality, and leverage modern analytics technologies to create tangible business value.

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• Extract, cleanse, validate, and analyze data from various internal systems to monitor operational KPIs and business objectives.
  
• Identify trends, bottlenecks, and anomalies, translating findings into clear recommendations and actionable next steps.
  
• Support stakeholders in making data-driven decisions through reliable analysis and transparent reporting.
  

Design impactful reporting solutions

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• Develop, maintain, and continuously improve automated dashboards and recurring reports using modern Business Intelligence tools.
  
• Collaborate with international and cross-functional stakeholders to understand reporting requirements and deliver solutions that support daily operations.
  
• Empower users to explore and interpret data independently through intuitive dashboards and guidance.
  

Drive data quality and knowledge sharing

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• Create and maintain documentation for reporting solutions, datasets, and analytical processes.
  
• Contribute to data quality initiatives by implementing validation routines and identifying inconsistencies early.
  
• Foster transparency and knowledge sharing across teams.
  

Improve processes through analytics and automation

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• Continuously optimize reporting and analytics workflows by leveraging automation and AI-supported solutions.
  
• Collaborate with both technical and non-technical stakeholders to deliver practical solutions and ensure clear communication.
  
• Take ownership of analytics topics while contributing to operational excellence and business success.
  

Qualifications

What distinguishes you:

Education

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• Bachelor's or Master's degree in Data Analytics, Business Informatics, Computer Science, Statistics, Mathematics, Industrial Engineering, or a comparable field.
  

Experience

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• Professional experience in Data Analytics, Business Intelligence, Reporting , or a related area.
  
• Experience designing and maintaining reporting and analytics solutions in a business environment.
  

Know-how

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• Strong experience with Business Intelligence and Data Visualization tools, particularly Power BI .
  
• Proficiency in SQL for data extraction, querying, and optimization.
  
• Working knowledge of Python (e.g., pandas) for data manipulation and analysis.
  
• Experience with Microsoft Fabric or comparable modern analytics platforms.
  
• Understanding of data governance, data quality, validation processes, and reporting best practices.
  
• Familiarity with AI and Generative AI tools and their practical application in analytics, automation, and process improvement.
  
• Good knowledge of Microsoft Office applications.
  
• Experience with Microsoft Power Platform (Power Apps and Power Automate) is considered an advantage.