Head of Product Data & Analytics
US - GA - Atlanta, United States
USD 224K-257K Executive-level Full Time
Tasks
- Build and lead product data and analytics practice
- Build product insights capability
- Coach product managers designers engineers and business partners on data literacy
- Connect product analytics with experimentation instrumentation and decision support
- Define analytics data science standards and operating rhythms
- Develop and apply data science for segmentation forecasting clustering propensity modeling and recommendations
- Ensure product instrumentation and data quality
- Establish KPIs measurement frameworks and guardrails
- Guide business analytics lifetime value churn and economics
- Hire develop and lead analysts and data scientists
- Monitor evaluate explain and improve models
- Operationalize experimentation practices
- Oversee user analytics funnels cohorts retention and adoption
- Translate analyses into actionable insights
- Use data for scenario modeling forecasting and portfolio decisions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | BI Dashboards | Business Intelligence | Causal Inference | Clustering | Cohort Analysis | Customer Analytics | Data Governance | Data Quality | Data Science | Data Warehousing | Event Tracking | Experimental Methods | Experimentation | Forecasting | Funnel Analysis | Holdout testing | Instrumentation | KPI design | Machine Learning | Product Analytics | Propensity Modeling | Quasi Experimental | Quasi-experimental methods | Recommendation Systems | Regression | Retention analysis | Segmentation | User Analytics
Education
Bachelor of Science | Master of Arts | Master of Science | PhD
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