Über
Translate ambiguous business questions into structured analytical frameworks and develop KPI definitions Own and scale A/B testing infrastructure and define best practices for experimentation Design and maintain scalable ELT/ETL workflows and optimize performance across the analytics ecosystem
Required Qualifications
7+ years of experience in analytics engineering, data engineering, or advanced analytics roles Deep expertise in SQL and modern data modeling techniques Strong proficiency in Python (or similar) for data transformation and statistical analysis Experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, etc.) Proven experience building scalable data warehouse environments
Sprachkenntnisse
- English
Hinweis für Nutzer
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