Data Analytics Expert (f/m/div.)

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 Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

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.

• Develop and maintain interactive dashboards and advanced data visualization solutions to support business and project needs.
• Cleanse, structure, and validate unstructured data to ensure completeness and data quality according to defined requirements.
• Support the HS Code Review Project and FTICS initiatives through data analysis, monitoring, and reporting.
• Analyze data to identify patterns, inconsistencies, trends, and improvement opportunities.
• Track, cluster, and organize incoming information requests and related responses.
• Support stakeholders with data-driven insights and reporting to facilitate informed decision-making.
• Contribute to the continuous improvement of data analysis and reporting solutions.

Education

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

Experience

• Experience in data analytics, reporting, or business intelligence.
• Experience developing dashboards and data visualization solutions.
• Practical experience with data cleansing, validation, and preparation.
• Experience working with business data in project or process environments.

Know-how

• Strong experience with Power BI and Power Query.
• Strong SQL skills.
• Knowledge of dimensional modelling and semantic data models.
• Proficiency in standard Office applications and relevant project management systems.
• Understanding of SAP ERP tables and business logic is an advantage.
• Experience with Databricks is an advantage.

Languages

• English – Full professional proficiency (written and spoken).
• German – Nice to have.
• Portuguese – Nice to have.

Working Style and Methods

• Strong analytical and structured approach to data.
• End-to-end thinking and ability to connect data with business processes.
• Ability to work with complex, incomplete, or unstructured data.
• Experience working in process-oriented or project environments is an advantage.
• Able to translate business requirements into practical data and reporting solutions.

Personality

• Analytical and curious.
• Solution-oriented and pragmatic.
• Detail-conscious while maintaining a broader business perspective.
• Collaborative and comfortable working with different stakeholders.
• Proactive and eager to identify opportunities for improvement.

Work #LikeABosch means:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site

📚 Training opportunities

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!