Related skills
segment snowflake sql python dbtπ Description
- Own the full analytical lifecycle from data quality to insight delivery.
- Model user behavior to predict retention, churn, and engagement.
- Bridge Data Engineering and Product to enable growth decisions.
- Lead attribution and growth measurement with AppsFlyer and PostHog.
- Analyze audience segments and cohorts to guide strategy.
- Translate insights into actionable product and growth actions.
π― Requirements
- 5-8 years in product data science or growth analytics
- Strong funnel, cohort analysis, and experimentation background
- Experience with ML/statistical models for churn and LTV
- Proficiency with SQL and Python
- Hands-on with Snowflake and dbt
- Experience with event-tracking tools (PostHog, Segment)
- Bachelor's degree in a quantitative field
π Benefits
- Diverse medical, dental and vision options
- 401k matching program
- Unlimited paid time off
- Equity component included
- Visa support for international employees in the Bay Area
π Visa sponsorship
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