Data Analyst

About The Role The role drives critical business decisions by translating complex transactional and behavioral datasets into actionable insights and clean, reliable dashboard suites. This position serves as the primary analytical partner to product and operations teams, establishing key performance metrics and identifying growth opportunities. You will design robust SQL queries, build scalable data models in modern cloud warehouses, and deploy interactive visualization tools that democratize data access across the entire organization. Key Responsibilities Design, develop, and maintain high-performing dashboards and reporting suites in Tableau, Looker, or Sigma to track product and business KPIsWrite complex, optimized SQL queries to extract and aggregate multi-source data across Snowflake or BigQuery data warehousesCollaborate with analytics engineers to define requirements for underlying dbt models and ensure core data assets are structured for self-service analysisConduct deep-dive exploratory data analyses to diagnose performance anomalies, evaluate feature adoption, and uncover product optimization opportunitiesPartner with product managers to design rigorous A/B test experiments, define power analyses, and evaluate statistical significance of resultsDocument data definitions, metric logic, and schema changes to maintain a reliable, centralized data dictionary for business stakeholders What We Are Looking For 3-6 years of experience in a dedicated data analyst, product analyst, or business intelligence role in a high-growth tech environmentAdvanced, production-grade SQL skills, including a deep understanding of window functions, complex joins, CTEs, and query optimizationProven experience building and maintaining enterprise-grade visualization dashboards in Looker, Tableau, or similar BI toolsSolid understanding of statistical concepts, including hypothesis testing, sample size calculation, and linear regressionsBachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative fieldBonus: Experience writing basic Python or R scripts for automated reporting, familiarity with dbt, or working knowledge of git workflows