Analytics Engineer

📋 Description Design, build, and maintain clean, scalable data models using SQL and dbt. Apply software engineering practices to analytics code (version control, testing, CI). Automate and streamline data validation, testing, and reporting processes. Own data analysis for a domain, collaborating with product analysts and data scientists. Proactively monitor data integrity, identify issues, and perform root cause analysis. Maintain comprehensive data documentation and definitions for easy reference. 🎯 Requirements 2-4 years of experience as Analytics Engineer, Data Analyst, or similar. Marketing analytics experience; proficient in SQL and Python. Understanding of data warehousing concepts, data modelling, and performance optimization. Knowledge of data validation, testing frameworks, and version control (Git). Familiarity with modern data stacks (dbt, Snowflake/BigQuery/Redshift) and cloud platforms (GCP, AWS). Ability to communicate complex analytics clearly to diverse audiences. 🎁 Benefits Equity for Berlin-based employees. Scale with a profitable startup. Central Berlin Office for collaboration. Transport subsidy, breakfasts and lunches, language learning, and Urban Sports Club.