Data Analyst

About The RoleThe role owns the analytical foundation of the product and business operations, translating complex datasets into actionable insights, dashboards, and predictive models.The team works closely with product managers, data engineers, and executives to drive data-informed decision-making across all core business metrics.Key ResponsibilitiesDesign, build, and maintain scalable SQL-based data models, dimensional tables, and automated reporting dashboards using Looker or TableauPartner with product and engineering teams to define core KPIs, track feature adoption, and measure the impact of product releasesPerform rigorous exploratory data analysis to identify user behavior trends, retention bottlenecks, and growth opportunitiesBuild robust ETL pipelines in Python and SQL, ensuring high data accuracy and reliability across the data warehouseDesign and analyze A/B testing frameworks, calculating statistical significance and delivering clear experiment recommendationsTranslate complex technical findings into concise, executive-ready presentations that drive strategic planningWhat We Are Looking For3–6 years of experience in data analysis, business intelligence, or analytics engineering within a tech environmentAdvanced SQL skills with expertise in window functions, CTEs, performance tuning, and data warehouse architecture (Snowflake, BigQuery)Strong proficiency in Python (Pandas, NumPy) and data visualization tools like Looker, Tableau, or ModeSolid understanding of statistical concepts, hypothesis testing, and experimental design for product analyticsBachelor's degree in Statistics, Computer Science, Economics, Mathematics, or a related quantitative fieldBonus: Experience with dbt for data transformation and basic familiarity with machine learning regression models