Related skills
sql dbt churn lifetime_value📋 Description
- Develop and execute global customer data strategy to drive revenue
- Architect and maintain a robust customer data layer with dbt
- Build predictive models (Churn, LTV) to automate insights
- Partner with the COO org to reduce friction in the customer lifecycle
- Enforce data governance and privacy (GDPR, CCPA)
- Translate datasets into strategic narratives for leadership
🎯 Requirements
- At least 10 years in data analytics or data science
- Fluency in English
- Experience with SQL, dbt, and modern data warehouses
- Proven predictive modeling skills: churn and lifetime value
- Proficiency in data analysis and statistical modeling
- Leadership experience with analytics teams
🎁 Benefits
- People-first culture focused on collaboration and inclusion
- Opportunity to push AI-first initiatives with latest tech
- Flexible hours, wellness perks, and stock options
- Growth through mentorship and internal mobility
- Meaningful work helping 100,000+ SMBs grow
- Equal opportunity employer; diversity welcomed
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