Tasks:
- * Analyze business data
- * Apply statistical models
- * Calculate experiment sample sizes
- * Conduct A/B testing
- * Design KPI dashboards
- * Determine churn drivers through causal inference
- * Drive cross-functional project execution
- * Establish metric systems
- * Evaluate machine learning models
- * Identify subscriber behavior patterns
- * Maintain data dictionaries
- * Monitor real-time metrics
- * Translate technical issues into measurable metrics
Perks/Benefits:
Skills/Tech stack required:
[A/B] [A/B Testing] [B testing] [Causal Inference] [Clustering] [Dashboard Design] [Data Aggregation] [Data Analysis] [Data Querying] [Data Visualization] [KPI Monitoring] [Learning evaluation] [Linear Regression] [Logistic Regression] [Machine Learning] [Machine learning evaluation] [Python] [Sample Size] [Sample Size Calculation] [SQL]
Educational requirements:
N/A
Role(s):
[Analyst] [Data Analyst]