3+ years of experience using data to drive business impact, including identifying actionable insights, crafting compelling narratives, and partnering with cross-functional teams to define and implement solutions
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Strong proficiency in SQL—confident writing complex queries against large event-based datasets, and comfortable reviewing and improving code from other analysts
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Hands-on experience building and maintaining transformation models (dbt or similar) and a point of view on what makes a good data model
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Solid grounding in statistical analysis using Python or R—hypothesis testing, regression, bootstrapping—and an understanding of the trade-offs between different measurement approaches