Principal Pricing Data Engineer
Tasks
- Analyze discount and rebate effectiveness
- Build model ready traceable reproducible data
- Build pricing data architecture
- Conduct code reviews
- Design data pipelines
- Develop pricing dashboards KPIs and reporting frameworks
- Develop pricing data models
- Enable pricing analytics and decision making
- Establish pricing governance frameworks
- Implement automated testing
- Implement data quality checks and monitoring dashboards
- Ingest validate transform and persist pricing data
- Integrate ERP CRM and CPQ
- Model customer and product elasticity
- Optimize pipeline performance cost efficiency scalability
- Perform price realization and leakage analysis
- Support Production Support
- Use source control workflows
- Write production-grade Python code
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics | Automated testing | CPQ | CRM | Celonis | Cloud Computing | Code Reviews | Customer Segmentation | Data Architecture | Data Modeling | Data Pipelines | Data Quality | Data Validation | Discount Optimization | ELT | ERP | ETL | Functional Programming | Machine Learning | Margin Expansion | Monitoring Dashboards | OOP | Price Waterfall | Price Waterfall Analysis | Process mining | Product segmentation | Python | SAP | SQL | Salesforce | Source Control | Waterfall analysis
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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