Data Analyst

About The Role

The role owns the analytical foundation of the data organization, translating complex business questions into clear, actionable insights and robust reporting infrastructure.

The team works closely with product managers, data engineers, and executives to drive data-informed decision-making across key growth and operational initiatives.

Key Responsibilities

• Design, build, and maintain scalable SQL-based data models, dashboards, and executive scorecards using modern BI tools like Looker or Tableau
• Write complex, highly optimized SQL queries to extract, transform, and analyze large datasets across cloud data warehouses like Snowflake or BigQuery
• Partner with product and engineering teams to define core KPIs, establish tracking plans, and ensure end-to-end data quality
• Conduct deep-dive exploratory data analyses to identify user behavior patterns, growth bottlenecks, and revenue opportunities
• Build and automate ETL data pipelines using Python and dbt to streamline data transformation and reporting workflows
• Communicate complex technical findings clearly to non-technical stakeholders through structured presentations and documentation
  
  

What We Are Looking For

• 3–6 years of experience in data analysis, business intelligence, or analytics engineering within a tech environment
• Expert-level SQL proficiency and advanced experience with Python for data manipulation and statistical analysis
• Hands-on experience with modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and transformation tools (dbt)
• Demonstrated ability to design impactful dashboards and data models in modern BI platforms (Looker, Tableau, or Mode)
• Strong foundational knowledge of statistical analysis, experimental design, and A/B testing methodologies
• Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
• Bonus: Experience with event-tracking platforms like Segment or Amplitude, and familiarity with orchestration tools like Airflow