We are looking for a Product Data Analyst to further our use of data to drive product decisions. Working with cross-functional teams composed of product managers, designers, UX research and engineers, you’ll apply your expertise to deliver customer & product insights and help shape the products we deliver to our customers.

You will leverage rich user data using cutting-edge technology to see your insights turned into real products. The ideal candidate will have a passion for using data to drive business decisions and will be comfortable working with large datasets.

Responsibilities:

• Work with cross-functional teams to identify key metrics and KPIs to measure product success
• Work with engineering and data teams to capture relevant data elements for measurement with data capture tools like Segment
• Collaborate with engineering teams to ensure data integrity and consistency across systems
• Develop and maintain data pipelines to provide accurate and timely insights with tools like dbt and dagster
• Create and maintain dashboards and reports to communicate insights to key stakeholders using tools like Amplitude and Tableau
• Perform data analysis using tools such as Amplitude and Snowflake to identify trends, insights and root causes
• Continuously monitor and analyze performance metrics to identify opportunities for improvement
• Participate in A/B testing and experimentation to optimize user experience and drive growth

Requirements:

• Bachelor's or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related field
• 5+ years of experience in a data analysis role, preferably in an ecommerce or technology company
• Proficient in using data analysis and dashboarding tools such as Amplitude and Tableau
• Proficient in data transformation with dbt
• Strong experience with data modeling and querying using SQL
• Efficient in handling large volume of data (in Terabytes), preferably in Snowflake or other cloud-based databases
• Strong analytical and problem-solving skills
• Excellent communication skills and ability to work collaboratively and remotely in a cross-functional team
• Strong experience working with agile teams and tools like confluence and jira
• Experience with Dagster, airflow, dbt cloud preferred
• Experience with Machine Learning modeling & MLflow a plus

Benefits

• Hybrid work model 
• Flexible work schedules 
• Modern equipment 
• Tons of educational opportunities 
• Public recognition platform 
• Business trips to the headquarters in Los Angeles, USA