Revenue Strategy & Data Analytics Lead
Leads revenue data architecture and strategy for retention, expansion, pricing, forecasting, and executive decision-making. The role requires 8–10+ years in B2B SaaS operations or strategic analytics, expert SQL and BI skills, AI commercialization experience, and a bachelor's degree.
About the job
Responsibilities
- Define and execute the roadmap for using AI and data to drive retention and expansion across Customer Success, Professional Services, and Support.
- Build and improve models identifying at-risk accounts and cross-sell or upsell opportunities using usage, support, and engagement data.
- Architect customer health-score metrics and the data foundation supporting automated Customer Success playbooks.
- Set renewal pricing strategy, services attach-rate targets, and margin optimization in partnership with Sales and Services leadership.
- Own the retention narrative for executive and board audiences, translating NRR and GRR metrics into recommended actions.
- Mentor and upskill the GTM team and cross-functional commercial partners on using data.
- Lead cross-functional commercial-system changes, including segmentation, territory and quota models, forecast hygiene, churn coding, and renewal workflows.
Requirements
- 8–10+ years of experience in Customer Success Operations, Revenue Operations, or Strategic Analytics within a B2B SaaS environment.
- Experience building revenue data architecture and models from CRM, product usage, support, and engagement data.
- Experience influencing VP and C-suite decisions through commercial analytics.
- Experience using AI for commercial applications such as predictive churn modeling, sentiment analysis, or next-best-action recommendations.
- Expert-level SQL and business intelligence tooling experience.
- Experience joining product-usage data with CRM data at scale.
- Experience owning go-to-market metrics.
- Bachelor's degree in a relevant field.
Nice-to-haves
- Usage-based or composable software experience.
- Player-coach leadership experience in a RevOps or GTM context.
- Experience mentoring or coaching analysts or operations professionals.
- Experience evaluating build-versus-buy tradeoffs for AI solutions.
- MBA.
Compensation and Benefits
- Company equity.
- Competitive benefits including health, dental, vision, disability, life insurance, AD&D insurance, FSA, commuter benefits, parental leave, and 401(k).
- Flexible work schedule and unlimited vacation policy.
- Learning and Development program.
- Fitness subsidies.
Skills
SQL, Business Intelligence, Revenue Operations, Customer Success Operations, Salesforce, Predictive Churn Modeling, Sentiment Analysis, Customer Health Scores, Forecasting, Quota Modeling, Pricing Strategy, Product Usage Data, Crm Analytics, Nrr, Grr
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