Head of Product Data & Analytics
US - GA - Atlanta, United States
USD 224K-257K Executive-level Full Time
Tasks
- Apply causal inference methods for real world environments
- Build measurement instrumentation and experimentation frameworks
- Coach product managers designers engineers and partners on data literacy
- Define analytics standards tools and operating rhythms
- Design and operationalize A B testing and holdouts
- Embed predictive adaptive and intelligent capabilities into product experiences
- Ensure data quality accuracy consistency and usability
- Establish product KPIs and measurement frameworks
- Guide segmentation forecasting clustering propensity modeling and recommendations
- Hire develop and lead analysts and data scientists
- Instrument products for adoption engagement friction and impact
- Lead product data and analytics practice
- Monitor evaluate explain and improve data science models
- Oversee business analytics lifetime value churn economics and value realization
- Oversee user analytics funnels cohorts retention and adoption
- Provide scenario modeling forecasting and evidence for portfolio sequencing
- Share insights to influence portfolio level decision making
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | BI Dashboards | Behavior Analysis | Business Intelligence | Causal Inference | Churn analysis | Clustering | Cohort Analysis | Data Quality | Data Warehousing | Event Tracking | Experimentation | Forecasting | Funnel Analysis | Holdout testing | Instrumentation | Lifetime Value | Machine Learning | Predictive Analytics | Predictive Modeling | Product Analytics | Propensity Modeling | Recommendations | Regression | Retention analysis | Segmentation | User Behavior | User Behavior Analysis
Education
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