Design, build, and maintain scalable data models with SQL and dbt
Apply software engineering practices: versioning, testing, CI
Automate data validation, testing, and reporting
Own data analysis for a domain; collaborate with Product Analysts and Data Scientists
Monitor data integrity and perform root-cause analysis
Train business users on utilising the data platform and visualization tools

🎯 Requirements

2-4 years in Analytics Engineer or similar role
Marketing analytics exp; proficient in SQL and Python
Data warehousing concepts, data modeling, and performance optimization
Data validation, testing frameworks, and Git
Familiarity with dbt, Snowflake/BigQuery/Redshift, and Dagster/Airflow
Clear, concise communication of analytics findings to diverse audiences

🎁 Benefits

Equity for Berlin-based employees
Scale with a profitable startup
Central Berlin Office
Transport subsidy, meals, language learning, Urban Sports Club

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