Data Analyst

About The Role

The role is responsible for transforming raw operational and product data into actionable business intelligence. Operating within a modern data stack, this analyst will partner closely with product, engineering, and finance teams to define key performance metrics, build reliable dashboards, and deliver deep-dive analyses that guide strategic decisions. The ideal candidate brings a blend of technical expertise in SQL and data modeling with strong business acumen. This position will contribute directly to democratization of data by developing self-service BI assets and ensuring data trust and reliability across the organization.

Key Responsibilities

• Write complex, optimized SQL queries to extract, transform, and analyze datasets from Snowflake and BigQuery data warehouses
• Design, build, and maintain production-grade dashboards in Tableau, Looker, or PowerBI to track company-wide KPIs and product adoption
• Partner with analytics engineers to define requirements for dbt models, ensuring clean and well-structured tables for downstream reporting
• Perform exploratory data analysis to identify trends, diagnose anomalies in product performance, and uncover growth opportunities
• Conduct rigorous A/B testing analysis, defining sample sizes, tracking experiment health, and presenting statistical results to stakeholders
• Document data definitions, metric logic, and dashboard schemas to maintain a reliable single source of truth

What We Are Looking For

• 2–4 years of experience as a Data Analyst, Business Intelligence Analyst, or in a similar quantitative analytics role
• Advanced proficiency in writing structured, high-performing SQL queries (joins, window functions, CTEs) on large-scale datasets
• Hands-on experience building enterprise-level dashboards and semantic layers using Looker (LookML), Tableau, or Sigma
• Familiarity with modern data stack architectures, particularly cloud data warehouses (Snowflake, BigQuery) and dbt
• Solid understanding of basic statistical concepts, including experimental design, hypothesis testing, and regression analysis
• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
• Bonus: Experience with Python or R for data analysis, or prior exposure to product analytics tools like Amplitude or Mixpanel