Data Analyst – Process Mining

About the role

MDPI, an open access publisher headquartered in Switzerland, is looking for a Data Analyst to support its Process Mining Team. You will help build end-to-end analytics solutions from internal editorial process data, turning complex data sets into validated, version-controlled data assets with documented origins and logic. The goal is to give MDPI proactive, transparent metrics for internal and external reporting and to support process improvement aligned with business strategy.

Key responsibilities

• Own analysis projects end-to-end, delivering documented insights and recommendations.
• Develop and maintain dashboards and reports that meet stakeholder needs.
• Perform exploratory data analysis to identify trends, patterns and anomalies.
• Collaborate with business stakeholders to turn requirements into analytical solutions.
• Improve data quality and consistency through validation processes and contribute to documentation and knowledge sharing.
• Analyse user behaviour and conversion funnels to support digital optimisation.
• Build and maintain web analytics data models using a transformation tool.
• Keep up with process mining technologies and best practices, including process mapping, workflow analysis and business process management.
• Ensure data quality at every step and contribute to data governance across the business.

Required profile

• Bachelor's degree in Science, Mathematics, Computer Science, Engineering or a related field.
• 2-5 years of professional experience in data analytics or data science.
• Strong understanding of data quality, validation, consistency and governance.
• Excellent written and spoken English, and strong communication and stakeholder management skills.

Required skills

• Advanced knowledge of SQL and Python.
• Nice to have: knowledge of process mining and BPMN.
• An advantage: experience with Apache Superset.