
Senior Data Analyst, Product
The role partners with Product, Engineering, Data Science and business teams to lead end-to-end analytics projects, design and analyze A/B tests, build dashboards and datasets, identify and resolve data quality issues, and translate complex data into actionable insights. Qualifications include 7+ years in data/product analytics, advanced SQL, proficiency in a programming language (Python, Java, Scala, or C++), experience with Hive/Spark and Snowflake, strong statistics/regression skills, and expertise with BI and web analytics tools (Domo, Tableau, Looker, GA, Amplitude, Mixpanel). Employment requires employees be based in the United States and the role involves traveling to the Los Angeles HQ twice a year.