Data Scientist (m/f/d) - Reporting & Analytics

Körber Pharma Packaging AG; Porto; Presencial; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Modern office

Remote work option

Flexible working time

Resumo da oferta

Körber Pharma Packaging AG is seeking a Data Scientist (m/f/d) focused on Reporting & Analytics to drive data‑driven decision‑making across the organization. You will design data products for our service business and lead initiatives such as process mining to optimize processes and support strategic decisions.

You will design data models, develop analytical dashboards with KPIs, roll out data solutions, and potentially manage data projects as a Project/Program Manager in a collaborative,

Qualificações

• Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or a related field.
• Strong passion for data, analytics, and business processes with solid conceptual thinking.
• Strong technical capabilities to solve complex business challenges in a structured manner.
• Good understanding of business contexts and identifying opportunities for data analytics to improve processes.
• Solid knowledge of data analysis methods and models.
• Experience with large datasets, databases, and data visualization tools.
• Proficient to advanced SQL and practical SAP experience; Python knowledge is a plus.
• Excellent communication skills to present findings clearly to stakeholders.
• Thrives in an international, collaborative, and fun work environment.
• Challenging responsibilities making a difference in a fast-growing industry.
• Diverse opportunities for further development; competitive compensation.
• Modern office, flexible working time and remote work option.

Responsabilidades

• Design and develop data models based on SAP Datasphere.
• Create analytical dashboards and reports with KPIs in SAP Analytics Cloud and identify optimization opportunities.
• Implement, document, and roll out developed data models.
• Lead data-driven projects and initiatives as a Project Manager or Program Manager.
• Build and implement a Process Mining solution to enable root cause analyses.

Conhecimentos

SQL

Data analysis

Data visualization

SAP

Python

Dashboards

Process mining

Stakeholder communication

Project management

Formação académica

BSc/ MSc in CS

Data Science degree

Business Informatics

Ferramentas

SAP

SAP Datasphere

SAP Analytics Cloud

Descrição da oferta de emprego

Data Scientist (m/f/d) - Reporting & Analytics

Your role in our team

As a Data Scientist (m/f/d), you will drive data‑driven decision‑making across our organization. You will design and develop new data products for our service business, with a particular focus on company‑wide reporting. In the future, you will also support organizational development through the introduction and application of process mining tools for process analysis and optimization.

In addition, you will be responsible for further data‑related development initiatives and provide valuable insights through your analyses to support strategic decision‑making. Your work will strengthen a data‑driven culture and enable data‑powered services, giving you a direct impact on the success of the entire organization.

• Design and develop data models based on SAP Datasphere
• Create analytical dashboards and reports with defined KPIs in SAP Analytics Cloud and identify optimization opportunities based on the results
• Implement, document, and roll out developed data models
• Lead data‑driven projects and initiatives as a Project Manager or Program Manager
• Build and implement a Process Mining solution to enable root cause analyses

Your profile

• Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or a related field
• Strong passion for data, analytics, and business processes, combined with excellent conceptual thinking skills
• Strong technical capabilities and the ability to solve complex business challenges in a structured manner
• Good understanding of business contexts and the ability to identify opportunities where data analytics can improve processes and performance
• Solid knowledge of data analysis methods and models
• Confident working with large datasets and experienced in using databases and data visualization tools
• Proficient to advanced knowledge of SQL and practical experience with SAP; knowledge of Python is an advantage
• Excellent communication skills with the ability to present findings clearly, persuasively, and in a stakeholder‑oriented manner
• Thrive in an international, collaborative and fun work environment
• Meaningful and challenging responsibilities that make a difference in a fast‑growing industry
• Diverse opportunities for further development
• Competitive compensation package
• Modern office, flexible working time and remote work option

We value diversity and therefore welcome all applicants – regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status.