Remote Data Scientist: SAP Analytics & Process Insights

Körber Pharma; Grabs; Hybrid; CHF 110,000 - 150,000; Full time

Benefits offered by this job

Competitive pay

Remote work option

Flexible hours

Modern office

International environment

Job summary

Körber Pharma is seeking a Data Scientist to drive data-driven decision-making across the organization. You will design data products for our service business, focusing on company-wide reporting and later supporting organizational development through process mining tools for optimization.

You will deliver analyses that provide valuable insights to support strategic decisions, strengthening a data-driven culture and enabling data-powered services throughout the company.

Qualifications

• Bachelor's or Master's degree in Computer Science, Business Informatics, Data Science, or related field.
• Strong passion for data, analytics and business processes with excellent conceptual thinking.
• Solid knowledge of data analysis methods and models and ability to work with large datasets.
• Excellent communication skills with the ability to present findings clearly to stakeholders.

Responsibilities

• Design and develop data products for our service business, with a focus on company-wide reporting.
• Drive data-driven decision making across the organization.
• Support organizational development through process mining tools for process analysis and optimization.

Skills

Data analysis

Data visualization

Problem solving

Stakeholder communication

Business process understanding

Education

Bachelor's or Master's degree

Tools

SQL

SAP

Python

Job description

Körber Pharma is seeking a Data Scientist to drive data-driven decision-making across the organization. You will design data products for our service business, focusing on company-wide reporting and later supporting organizational development through process mining tools for optimization.

You will deliver analyses that provide valuable insights to support strategic decisions, strengthening a data-driven culture and enabling data-powered services throughout the company.