Data Analytics Engineer – Pega CDH
Tasks
- Analyze model and predictor performance
- Analyze propensity scores
- Build Databricks notebooks
- Create PySpark data pipelines
- Create reporting and monitoring dashboards
- Develop SQL queries
- Develop back testing approaches
- Evaluate action recommendation impact
- Map customer interactions to business outcomes
- Monitor eligible audiences
- Monitor model performance
- Perform KPI monitoring
- Replicate Pega CDH customer data
- Standardize data retrieval processes
- Write Python scripts
Perks/Benefits
- 401k
- Educational assistance
- Employer-paid disability insurance
- Employer-paid life insurance
- Medical/Dental/Vision insurance
- Paid time off
Skills/Tech-stack
Databricks | KPI Monitoring | Propensity Modeling | PySpark | Python | SQL
Education
N/A
Regions
Countries
States
Cities
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