Data Analyst

3+ years of experience in a data analytics role, preferably within a fast-growing consumer company
Hands-on experience with modern data analytics stack (e.g. Snowflake, dbt, Looker), strongly preferred
Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field
Proficiency in SQL is essential, (knowledge of Python or R, a plus)
Strong communication skills and ability to collaborate effectively with others
Strong problem-solving skills and the ability to analyze complex issues and find actionable solutions
Ability to thrive in a dynamic, fast-paced environment
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture

Collaborate with the operations department to improve the speed and efficiency of our customer support, claims adjusting, underwriting, and people ops teams
Build and maintain the data analytics infrastructure for accurate and timely reporting and sophisticated analysis
Set measurable and smart goals, and build new measurement and optimization capabilities
Initiate analyses and deliver business insights that lead directly to process and product improvement
Partner with other data analysts, as well as team members from R&D, Customer Operations, People Operations, Finance to push through cross-functional data projects