Director, Revenue Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and cultivate the Revenue Analytics team, establishing analytics standards and developing scalable capabilities.

• Facilitate AI self-serve initiatives within the Field through certified data sets, semantic layers, and metric definitions.

• Guide a team in generating insights using AI tools and traditional BI solutions.

• Own the analytics strategy for sales, customer success, and professional services.

• Develop and assist in forecasting, pipeline management, capacity planning, and predictive modeling.

• Create customer lifecycle analytics focusing on onboarding, product adoption, engagement, churn risk, expansion, NRR, and GRR.

• Offer strategic guidance on metrics, insights, and data for transitioning to a consumption-based business model.

• Generate recurring executive artifacts, integrated reporting, attribution models, and strategic analyses.

• Collaborate with executive leaders and cross-functional teams to transform business inquiries into actionable recommendations.

• Establish data governance and reporting frameworks to ensure reliable reporting for executives, the board, and external stakeholders.

⛳️ Requirements

• Proven experience in leading analytics teams and mentoring team members in sales, customer, revenue operations, business intelligence, or consulting settings.

• Understanding of B2B SaaS business models, sales processes, and revenue metrics throughout the customer lifecycle.

• Experience with consumption-based metrics and business models.

• Ability to create strategic analytics roadmaps, simplify complex data into clear insights, and influence decisions at the executive level.

• Experience in customer success analytics, including health scoring, churn prediction, NRR and GRR analysis, segmentation, and expansion analytics.

• Background in sales and professional services analytics, including forecasting, revenue planning, utilization, project profitability, and metrics for services-led growth.

• Capability to work with large, intricate datasets to build analytical frameworks for resource allocation, capacity planning, and customer outcomes.

• Advanced skills with AI tools (Claude, OpenAI, Gemini), BI tools (Tableau, Hex, Omni), SQL, data modeling, statistical analysis, and predictive modeling.

• Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other BI platforms is advantageous.

🏝️ Benefits

• Comprehensive benefits to support your health, finances, and overall well-being.

• Flexible Paid Time Off.

• Team Member Resource Groups.

• Equity Compensation & Employee Stock Purchase Plan.

• Growth and Development Fund.

• Parental Leave.