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

Körber; Porto; Híbrido; EUR 42 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

International environment

Competitive pay

Remote work option

Career development

Resumo da oferta

Körber is seeking a Data Scientist to drive data-driven decision-making across the organization. You will design and develop data products for our service business, focusing on company-wide reporting and, in the future, process mining for optimization.

You will build data models, dashboards, and reports using SAP Datasphere and SAP Analytics Cloud, and lead data-driven initiatives as PM/Program Manager to enable data-powered services and strategic insights.

Qualificações

• Degree in CS, BI, DS or related field.
• Strong data analytics passion and business sense.
• Excellent SQL skills and experience with SAP.
• Experience with data modeling and dashboards.
• Ability to work with large datasets and communicate findings.

Responsabilidades

• Design data models based on SAP Datasphere.
• Develop dashboards and reports with SAP Analytics Cloud.
• Lead data-driven projects as PM/Program Manager.
• Implement and roll out data models.
• Develop a Process Mining solution for root-cause analyses.

Conhecimentos

Data analytics

SQL

Python

Data visualization

Problem solving

Communication

Stakeholder management

Project management

Formação académica

Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or a related field

Ferramentas

SAP Datasphere

SAP Analytics Cloud

SQL

Python

Tableau

Descrição da oferta de emprego

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

Your Benefits

• 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.