Trainee BI/Data Analyst with German

BI/DA specialists act as the bridge between raw numbers and real-world business decisions. Their goal isn't just to write scripts or build pretty charts. They take chaotic raw data from various systems, structure it into a reliable analytical architecture, and transform it into interactive dashboards and actionable insights. Thanks to their work, businesses stop guessing and start making data-driven decisions: identifying where to cut costs, where to invest, and how to discover new growth opportunities.

Core Requirements:

• English: B2 and higher (for working with documentation and communicating with clients).
• SQL: Confident in writing complex queries (window functions, set operations, views, constraints).
• Python: Practical experience with Pandas or NumPy libraries.
• Databases: Understanding of relationship types, Relational vs. NoSQL DBs, ACID principles, normalization/denormalization, and row-oriented vs. columnar storage.
• Big Data & DWH: Knowledge of fundamental concepts — OLAP vs. OLTP, ETL vs. ELT, Data Warehouse, Data Lake, Data Lakehouse.
• Data Modeling: Understanding of Inmon and Kimball approaches (Data Vault is a plus), Star/Snowflake schemas, Fact/Dimension tables, SCD, and Data Marts.

Nice to Have:

• Analytical background: Previous experience or education in related fields (Economics, Finance, Business or Product Analytics, etc.)
• Experience with BI tools (Power BI, Tableau, Looker Studio) or Python data visualization libraries (Matplotlib, Seaborn, Plotly).
• Familiarity with the Big Data ecosystem tools (Spark, Airflow, Kafka, dbt).
• Basic understanding of Cloud technologies (AWS, Azure, GCP) and their practical application.
• German: B1+ and higher.

What We Offer:

Training & Development:

• No abstraction: All tasks are based strictly on real-world business cases.
• Your own E2E product: During the traineeship, you will develop a complete End-to-End BI project (from raw data processing to a finished dashboard).
• Business focus: We will teach you the business side of the profession (how to gather requirements, communicate with stakeholders, and translate business needs into technical solutions).
• Domain variety: After the traineeship, you will have the chance to work on projects in top industries, including FinTech, MedTech, eCommerce, and more.
• Onboarding & mentorship: You will be paired with a dedicated mentor who will conduct regular knowledge checks, provide detailed feedback on your code and architecture, and, most importantly, offer moral support at every stage of your growth.