Data Analytics Intern

Job Description

Want to deeply expand your data analytics toolkit? Our mandatory internship offers a unique opportunity to build dashboards in Power BI, optimize SQL queries, and develop automation workflows. Gain invaluable hands-on experience with cutting-edge tools, transforming raw data into actionable insights and solidifying your foundation in data analytics.

• During your internship you will apply your skills in building dashboards and interactive reports in Power BI and develop complementary workflows using Power Automate and Power Apps to support business processes and data-driven decision making.
• You will apply and expand your SQL knowledge by designing, writing, and optimizing SQL queries in SQL Server or other database systems to extract, transform, and validate data for analytics use cases.
• Furthermore, you will assist in the development and maintenance of ETL/ELT pipelines, supporting data ingestion, transformation, and quality checks across different environments (on-prem and cloud).
• Additionally, you will perform exploratory and descriptive data analysis to identify trends, anomalies, and insights, turning raw data into meaningful recommendations for the business.
• Finally, you will gain valuable hands-on experience with modern data analytics tools, data modeling, automation platforms, SQL best practices, and cross-functional collaboration - building a strong foundation for a future career in Data Analytics or Data Engineering.

Qualifications

• Education: studies in the field of Business Administration, Economics, Engineering or Computer Science or comparable
• Experience and Knowledge: previous experience in data analytics with a focus on Power BI development, SQL Server and Power Automate; strong motivation to learn and grow in Data Engineering, particularly in data modeling, ETL/ELT pipelines, cloud data services (e.g., Azure), Python for data processing, and best practices in data quality and governance
• Personality and Working Practice: you are a hands-on, organized and independent tech enthusiast with a problem-solving attitude, eager to learn and proactively deliver solutions with strong communication and presentation skills
• Languages: fluent in English and German