Manager Revenue Analytics and Sales operations

What You’ll Be Doing

• Revenue Operations:
• Act as a strategic business partner to the VP of Revenue, providing data-driven insights and operational support.
• Design and implement best-in-class forecasting methodologies, pipeline management, and sales performance dashboards.
• Establish sales metrics and KPIs to track performance, identify opportunities, and enhance decision-making.
• Optimize sales processes and systems to drive efficiency and automation.
• Partner with affiliate managers to ensure data integrity and insights that help drive revenue growth.
• Building & Leading a Revenue Analytics Team
• Hire, mentor, and develop a high-performing team of RevOps analysts to support the Sales and Marketing teams.
• Coach and train analysts to interpret data, generate insights, and provide actionable recommendations to sales and marketing leadership.
• Foster a culture of continuous improvement, collaboration, and innovation within the RevOps function
• Marketing & Demand Generation Support:
• Expand support to the VP of Marketing by implementing lead-scoring models, attribution analysis, and marketing top-of-the-funnel optimization.
• Enhance reporting on marketing performance metrics and ensure alignment between marketing and sales initiatives.
• Drive improvements in campaign effectiveness by integrating data insights across sales and marketing teams.

What You’ll Bring

• 10+ years of experience in Revenue Analytics, Sales Analytics, or Business Operations in a SaaS environment.
• Proven experience partnering with senior sales and marketing leaders to drive revenue growth.
• Strong expertise in forecasting, pipeline management, sales analytics, and CRM administration (Salesforce, HubSpot, or similar tools).
• Experience in building and managing high-performing teams.
• Deep understanding of B2B SaaS sales cycles, affiliate marketing, and performance-based revenue models.
• Use AI to experiment with tools that streamline workflows, unlock insights, and enhance decision-making
• Strong analytical skills with the ability to translate data into actionable insights.
• Understanding of BI Tools like – Tableau
• Understanding of BI – SQL, Snowflake
• Excellent communication and stakeholder management skills.