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sqlsalesforcedatapower bidata warehousetableaulookerbipropensity
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Job Description
📋 Description
- Revenue Planning & AOP: lead annual plan, quota, capacity, territory design
- Forecasting & Pipeline Analytics: weekly cadence with leadership; synthesize signals
- Revenue Data Science: build models for propensity, churn, expansion
- GTM Data Engineering: strategy for revenue data warehouse; data governance
- Segmentation & TAM: maintain ICP profiling; refine TAM as GTM evolves
- AI-Enabled GTM Execution: pilot and scale AI tools to automate analytics
🎯 Requirements
- 8–10+ years in revenue ops, sales strategy, or analytics; 3+ yrs in leadership
- Own AOP cycle: quota setting, capacity modeling, territory design in B2B SaaS
- Strong SQL and data modeling; experience with BI tools (Tableau/Looker/Power BI) and Salesforce
- Experience partnering with data science teams on propensity/ churn models
- Translate pipeline/product telemetry into forecast and planning outputs for execs
- Executive communication; comfortable presenting to CRO/exec staff
🎁 Benefits
- Base salary range: $180,000 - $205,000 + Bonus
- Total rewards include benefits package (401k, medical/dental)