Familiarity and comfort with ETL processes and data warehousing concepts (e.g., how data flows, where to access reliable data). * Write, optimize, and execute complex SQL queries to extract and manipulate data from large, disparate databases. * Utilize Python (e.g., pandas, NumPy, statistical libraries) for advanced data cleaning, statistical modeling, and analysis as needed. * Develop and maintain dynamic dashboards and reports using data visualization tools like Looker and Tableau to monitor business and product performance in real-time. * Demonstrate hands-on experience and comfort with understanding, troubleshooting, and occasionally contributing to ETL pipelines to ensure data quality, consistency, and availability for analysis. * Collaborate with Backend and Data Engineering teams to define necessary tracking and logging for new features.
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