Senior Data Analyst

Job Summary

To support data-driven decision-making, the full-time Senior Data Analyst will build and maintain predictive models, analyze customer retention and acquisition metrics, and collaborate with various teams to enhance customer value in a fully remote environment.

Key responsibilities

• Build and validate churn, LTV, and purchase propensity models for retention and acquisition teams
• Analyze data from CRM and loyalty platforms to provide insights on customer behavior and lifecycle metrics
• Evaluate paid acquisition performance across multiple ad platforms to guide budget allocation and strategy

Required qualifications

• 5+ years of experience in Data Analysis, particularly in DTC, subscription, or consumer marketing analytics
• Hands-on experience building predictive models such as churn and LTV models
• Proficiency in SQL with Snowflake, strong Python skills, and familiarity with BI tools like Sigma
• Fluency in data schemas for Shopify, Amazon Seller Central, and Klaviyo
• Understanding of subscription metrics and customer journey analytics