Related skills
snowflake r sql python tableau📋 Description
- Partner with Growth/Marketing/Revenue/Ops to turn questions into data-driven recommendations
- Build lead, account, and ICP scoring models to prioritize reps and guide territory design
- Develop models to analyze high-performer patterns and optimize onboarding
- Architect a marketing measurement framework (MMM, incrementality) with clear metrics
- Develop spend optimization and channel allocation frameworks considering saturation and ROI
- Apply causal inference methods (DiD, synthetic controls) for channel incrementality
- Design scalable experimentation for channel, creative, and audience testing
🎯 Requirements
- 7+ years in data science/analytics with at least 3 years in Marketing/Sales/Revenue
- Navigate ambiguous data environments; startup exp preferred
- Familiar with CRMs (Salesforce), marketing platforms, and CAC/Opps terminology
- Modeling across MMM, LTV, Lead Scoring, Attribution, Segmentation
- Strong technical: SQL, Python or R, ELT/ETL, OLAP (Snowflake), dbt, BI tools (Tableau/Hex), A/B testing and lift
- Excellent communication, collaboration, and influence
- Bonus: Healthcare or startup experience
- Passion for mission-driven mental health/healthcare to improve outcomes
- Note: NYC-area commuters onsite 4 days/week
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