Revenue Data and Analytics Lead
USD 112K-150K (estimate) Senior-level Full Time
Tasks
- Analyze revenue drivers
- Automate recurring reports
- Build KPI metrics for ARR NRR GRR CAC LTV
- Build executive dashboards using Power BI
- Build predictive revenue models
- Conduct cohort analysis retention studies revenue waterfall analysis
- Create self-service analytics tools
- Design dashboards and reporting systems
- Develop customer stratification frameworks
- Develop data definitions documentation
- Ensure data accuracy across revenue systems
- Ensure metric alignment with RevOps and Sales leadership
- Forecast revenue
- Monitor customer engagement patterns
- Optimize SaaS reporting workflows
- Partner with Sales and Customer Success and Finance
- Perform data validation reconciliation anomaly detection
- Perform variance analysis
- Support ARR modeling
- Translate data into business insights
Perks/Benefits
- N/A
Skills/Tech-stack
Annual Recurring Revenue | Anomaly Detection | Billing | Churn | Cohort Analysis | Customer Acquisition | Customer Acquisition Cost | Customer Lifetime Value | Customer Relationship Management | Customer relationship | Data Governance | Data Reconciliation | Data Validation | Data Warehousing | ETL | Excel | Expansion | Google Sheets | Gross Revenue Retention | KPI Reporting | Lifetime Value | Net Revenue | Net Revenue Retention | Power BI | Predictive Modeling | Recurring Revenue | Relationship Management | Retention analysis | Revenue Waterfall | Revenue Waterfall Analysis | Revenue operations | Revenue retention | SQL | Waterfall analysis
Education
N/A
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