Job Description
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 Rev Ops 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 Rev Ops 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 Saa S 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, Hub Spot, or similar tools).
- Experience in building and managing high-performing teams.
- Deep understanding of B2 B Saa S 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.
- 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 Rev Ops 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 Rev Ops 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 Saa S 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, Hub Spot, or similar tools).
- Experience in building and managing high-performing teams.
- Deep understanding of B2 B Saa S 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.
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