Senior Manager, Revenue Analytics
$168,900–$168,900 year
On-siteBelmont, California, United States
Job Summary
Own end-to-end reporting and analytics for revenue data across all product areas, leading the design of core dashboards used in monthly and quarterly business reviews. Identify trends, risks, and opportunities across go-to-market motions, partnering with Sales, Marketing, Customer Success, and Finance to translate complex data into clear narratives for executive decision-making. Build self-serve analytics infrastructure and ensure GTM data integrity by collaborating with Data Engineering teams. Mentor a team of data analysts spanning junior to senior levels, including hiring and performance management, while presenting findings directly to senior leadership for QBRs and board-level reporting.
Required Qualifications
- 7+ years of experience in revenue analytics, GTM strategy, Sales/business operations, or a related analytical function
- 2+ years of experience managing or mentoring analysts, or demonstrated ability to lead cross-functional analytical initiatives
- Strong SQL skills and large-scale data processing
- hands-on experience with BI/reporting tools (Tableau, Looker, Power BI, Sigma, or similar)
- Deep understanding of SaaS/GTM metrics: acquisition, upsell, churn and downsell, and exit MRR reporting
- Experience with revenue recognition, billing systems, or subscription/SaaS revenue data
- Proven ability to translate complex data into a clear narrative for non-technical, executive audiences
- Comfort operating in ambiguity — able to structure a vague business question into a rigorous analytical approach
- Excellent stakeholder management skills; able to build trust and influence priorities across different functions
- Bachelor's degree in quantitative field (Business, Economics, Statistics, Engineering)
Desired Qualifications
- SaaS or subscription business experience
- Experience working with key connected business systems: Marketo, Salesforce, Anaplan, NetSuite, and other revenue-adjacent platforms, plus a strong grasp of the underlying data models
- Experience with statistical modeling (Python, R) beyond spreadsheet-based approaches
- MBA
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