Senior Data Analyst

What you'll do

• Lead the design, analysis, and interpretation of A/B testing experiments across personalization systems.
• Conduct power analysis and perform post-analysis on complex questions using SQL and Python.
• Instrument new product features from the ground up by managing end-to-end data requirements.
• Collaborate with data engineers to ensure data consistency, accuracy, and quality for foundational datasets.
• Apply statistical modeling and causal inference to user behavioral data to identify patterns.
• Present actionable insights and data visualizations to cross-functional stakeholders and business leadership.
• Utilize AI tools like Claude and Snowflake Cortex to accelerate analytics engineering and innovation.
• Manage end-to-end analytical projects by documenting requirements and delivering strategic business impact.

What we're looking for

• Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field.
• Master’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field (preferred).
• 5+ years of experience in data analytics, including 2+ years at a senior level.
• 3+ years of experience creating complex queries and analysis on large datasets in SQL and Python using Snowflake or Databricks.
• 3+ years of experience with data exploration, visualization, and instrumentation in Looker or Tableau.
• 3+ years of experience with A/B testing, including power analysis, experimentation code libraries, and interpreting complex results.
• Strong understanding of statistics concepts including hypothesis testing, statistical power, confidence intervals, and regression analysis.
• Experience managing end-to-end analytical projects, including documenting requirements and delivering strategic impact.