Data Analyst Intern – Process Mining & Analytics (Part-time)

• Support process mining and analytics initiatives using Celonis and internal tools.
• Develop and maintain Python scripts for data transformation, automation, and analytical workflows.
• Prepare, optimize, and validate datasets using SQL.
• Improve and maintain dashboards, data models, and analytical assets.
• Participate in troubleshooting, testing, and quality assurance of analytics solutions.
• Collaborate with senior analysts on ad hoc analyses, reporting, and business insights.
• Continuously learn and apply Celonis, process mining techniques, and internal best practices.

• Master’s student in Information Technology, Data Analytics, Business Informatics, Computer Science, or a related field.
• Solid understanding of Python (data manipulation, scripting, automation).
• Practical experience with SQL and relational databases.
• Strong analytical thinking, problem solving mindset, and attention to detail.
• Curiosity and willingness to learn Celonis and modern analytics technologies.
• Ability to communicate clearly and work in a team oriented environment.
• English at a working proficiency level.

Nice to Have

• Experience with process mining, Celonis, or event log based analytics.
• Knowledge of BI tools (Power BI, Tableau, Qlik, etc.).
• Understanding of finance or end to end business processes.
• Interest in automation, workflow orchestration, or data engineering.

• A supportive environment with a local onsite buddy always available to help you grow.
• Hands on experience with real enterprise analytics and process mining.
• Access to cutting edge tools: SQL platforms, Celonis, SAP Hana, Python server, Google cloud and more.
• Flexible working style suitable for students.
• Possibility of long term collaboration and transition into a full time junior role after successful internship and graduation.

If you're excited about combining data, technology, and process improvement and want to build a strong foundation for your career in analytics, we’d love to hear from you!