Internship Analytics Engineer

• Design implementation and maintenance of ETL processes to ensure a structured and reliable data foundation
• Automation and optimization of data processes and recurring workflows (e.g. using Python and SQL)
• Close collaboration with business stakeholders to translate business requirements into data-driven solutions
• Support for Finance and Controlling in data analysis reporting and performance tracking
• Development and continuous improvement of BI dashboards as well as scalable reporting solutions
• Identification and implementation of optimization potentials in existing processes and systems
• Use of modern technologies (including AI tools) to increase efficiency and further develop analyses and processes

Qualifications :

• Completed Bachelors or Masters degree in Data Science Business Analytics Computer Science or a related field
• Strong knowledge of data analysis data modeling and data management
• Hands-on experience with SQL and Python for data processing and automation
• Experience with BI tools (e.g. Power BI)
• Solid knowledge of developing and using ETL processes and data pipelines
• Initial experience with the use of AI tools for data analysis or process automation is an advantage
• Interest in Finance and Controlling processes (e.g. FP&A reporting planning)
• Strong analytical mindset combined with a structured and precise working approach
• Team player with the ability to collaborate effectively with both technical and business stakeholders
• Very good command of English

Additional Information :

This role offers opportunities for growth into advanced data engineering positions and exposure to modern data technologies analytics and machine learning projects. Data Engineers are encouraged to pursue ongoing training and participate in Sikas evolving global analytics platform.

We offer competitive salaries aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position education and/or training.  We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Remote Work :

No

Employment Type :

Full-time