Principal Data Engineer / Financial Analyst
Tasks
- Build pipeline reconciliation dashboards and anomaly detection
- Build predictive and diagnostic forecasting models
- Create executive dashboards for revenue insights
- Design data validation rules and automated controls
- Develop revenue performance models
- Drive automation and digitization of manual processes
- Lead revenue analytics initiatives
- Maintain data governance and audit compliant workflows
- Mentor analysts and data scientists
- Perform variance analysis against plan forecast and prior period
- Reconcile operational revenue measures with financial results
- Standardize revenue definitions classifications and business rules
- Support planning quota and territory analytical datasets
- Translate analytical findings into executive narratives
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Business Intelligence | Dashboarding | Data Governance | Data Modeling | Data Pipelines | Data Transformation | Data Validation | ETL | Forecasting | Google Sheets | Machine Learning | Microsoft Excel | Power BI | Predictive Analytics | Python | R | Revenue Recognition | SQL | Scenario Analysis | Sensitivity Analysis | Statistical Analysis | Tableau
Education
N/A
Regions
Countries
States
Cities
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