Director, Revenue Analytics

Summary

Join BlueVoyant as a Director, Revenue Analytics and lead insights impacting revenue growth and operational efficiency. Develop a Revenue KPI and Insights framework to monitor performance, diagnose trends, and drive strategies. Initially focusing on pipeline health, conversion rates, and sales rep performance, expand ownership to end-to-end revenue analytics. Partner with revenue leaders to ensure insights lead to adoption and measurable outcomes. Shape analytics infrastructure, processes, and team development. This role is crucial for scaling, bridging data and decision-making in a fast-paced environment.

Requirements

• 7+ years in revenue analytics, revenue operations, or strategic finance; 2+ years in leadership
• Proven success in pipeline optimization, conversion analysis, and sales performance diagnostics
• Proficiency in Power BI, Salesforce (SFDC), Excel, SQL, and ETL tools and processes
• Experience with modern data warehouses (e.g., Snowflake, Google BigQuery, Azure Synapse)
• Ability to distill complex data into clear insights and influence stakeholders to act
• Track record of building KPI frameworks and driving adoption of analytics-driven strategies

Responsibilities

• Align analytics with goals (e.g., ARR, Retention, CAC, LTV, Health, Capacity, Efficiency, etc.) through partnerships with Sales, Marketing, CS, and Finance
• Own the pipeline operating model for setting targets and measuring pipe performance
• Diagnose trends, forecast accuracy, and identify trends to improve lead-to-close efficiency
• Analyze rep/team productivity, quota attainment, and activity metrics to drive coaching and process improvements
• Proactively design, implement, and maintain a unified KPI framework to track revenue performance across the customer lifecycle
• Partner with revenue leaders to socialize insights, drive adoption of recommendations, and measure impact on business outcomes
• Pricing/discounting strategies, win/loss root causes, customer health scoring, and renewal risk analysis
• ICP refinement, onboarding effectiveness, and expansion opportunity identification
• Develop dashboards in Power BI/SFDC and evolve systems (e.g., Snowflake, GCP, Azure data warehouses, ETL tools) for scalability
• Train and mentor cross-functional partners; potential to build a team as needs grow

Preferred Qualifications

• Hands-on experience scaling cloud data platforms (Snowflake, GCP, Azure) and reverse ETL tools
• Background in SaaS/tech with exposure to ICP development, customer health scoring, or pricing analytics
• Network of BI/analytics talent for future team growth