Data Analyst

About The Role

The role owns the analytical foundation of the product, translating complex datasets into actionable insights, dashboards, and growth strategies that guide executive decision-making.

The team works closely with product managers, data engineers, and software developers to define key performance indicators and maintain high standards of data integrity across the organization.

Key Responsibilities

• Design, build, and maintain scalable SQL queries, data models, and BI dashboards in Looker or Tableau to track core business metrics
• Execute rigorous A/B testing analysis and cohort studies to evaluate feature releases and optimize user retention funnels
• Partner with data engineers to define telemetry requirements and validate instrumentation across mobile and web platforms
• Translate ambiguous product questions into structured analytical frameworks and clear, data-driven recommendations
• Automate recurring reporting workflows and establish data quality monitoring checks to ensure metric consistency
  
  

What We Are Looking For

• 2–4 years of experience as a data analyst or analytics engineer in a high-growth technology or SaaS environment
• Advanced SQL proficiency, including complex joins, window functions, and performance tuning on cloud data warehouses like Snowflake, BigQuery, or Redshift
• Demonstrated experience with data visualization tools such as Looker, Tableau, or Amplitude
• Working knowledge of Python or R for exploratory data analysis and statistical modeling
• Bonus: Experience with dbt (data build tool), basic data pipeline orchestration using Airflow, or exposure to event tracking tools like Segment