Head of Sales Data Science & Analytics
Denver, CO;San Francisco, CA;New York, NY
USD 218K-255K Executive-level Full Time
Tasks
- Align stakeholders on data and infrastructure roadmap
- Conduct revenue deep dive analyses
- Connect solutions across data org
- Define analyst excellence standards
- Design causal inference and quasi experimental methods
- Develop propensity scoring models
- Enable AI self service analytics
- Evolve sales forecasting methodology
- Execute phased data remediation
- Identify revenue drivers and anomalies
- Improve seasonality controls
- Lead sales analytics team
- Partner with Data Engineering on modern scalable data layer
- Rebuild sales data foundation
- Recruit, mentor, and develop analytics team
- Shift culture to strategic causal analysis
- Translate complex data into executive insights
Perks/Benefits
- N/A
Skills/Tech-stack
CRM-to-Warehouse Reconciliation | Causal Inference | DBT | Data Modeling | Data Transformation | Data Warehousing | Data integration | Difference-in-differences | Experimental Design | Experimental Methods | Forecasting | Propensity Score Matching | Propensity score | Quasi Experimental | Quasi-experimental methods | Regression discontinuity | SQL | Salesforce | Score Matching | Snowflake | Synthetic control
Education
N/A
Regions
Countries
States
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