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 warehouses
• Collaborate with analytics engineers to define requirements for underlying dbt models and ensure core data assets are structured for self-service analysis
• Conduct deep-dive exploratory data analyses to diagnose performance anomalies, evaluate feature adoption, and uncover product optimization opportunities
• Partner with product managers to design rigorous A/B test experiments, define power analyses, and evaluate statistical significance of results
• Document 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 environment
• Advanced, production-grade SQL skills, including a deep understanding of window functions, complex joins, CTEs, and query optimization
• Proven experience building and maintaining enterprise-grade visualization dashboards in Looker, Tableau, or similar BI tools
• Solid understanding of statistical concepts, including hypothesis testing, sample size calculation, and linear regressions
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
• Bonus: Experience writing basic Python or R scripts for automated reporting, familiarity with dbt, or working knowledge of git workflows