5+ years of relevant experience in analytics, working with business KPIs and metrics. 2+ years working closely with product managers and user research teams. Fluency in SQL. Experience with data visualization tools such as Tableau, PowerBI or similar. Familiarity with event-tracking tools such as Google Analytics, Amplitude or similar. Familiarity with Python and its ecosystem of Data Science libraries. Experience working with data warehouses (Redshift, Bigquery etc.). Great communication skills and stakeholder management. Fluent in manipulating, transforming, and reshaping data. Experience with root-cause analysis, applying statistical concepts like regressions, and proving correlations and causation. Understanding of data pipelines and flows. Experience running A/B Tests and interpreting the results.