As a Manager on the Revenue Analytics team you will be responsible for independently leading cross functional projects and managing senior revenue stakeholders. The ideal candidate will have a deep understanding of sales and revenue analytics and be able to effectively communicate complex data to key stakeholders. We are looking for someone comfortable operating at a high pace of change that matches the speed of our business. This is a senior individual contributor role with a long term possibility for people management.

What You’ll Do:

• Support senior revenue leaders by providing actionable insights and recommendations based on sales, revenue, & bookings data
• Develop and maintain models and dashboards to track and report on key performance indicators (KPIs) and metrics
• Work closely with other departments, such as marketing, finance & data, to identify areas for improvement and provide recommendations for optimizing revenue and profitability
• Conduct in-depth analyses of sales and revenue data to identify trends, opportunities, and areas for improvement
• Lead cross-functional projects to develop and implement new revenue growth initiatives
• Stay up-to-date with the latest trends and best practices in sales and revenue analytics, and continually look for ways to improve our processes and tools

What We're Looking For:

• Bachelor's degree in mathematics, statistics, economics, or a related field; advanced degree a plus
• 5+ years of experience in data analysis, business intelligence, or a related field
• Proven track record in working with senior executives (C-level, SVP) and cross functional leaders (Sales, Success, Finance, Marketing, Data)
• Strong proficiency in SQL & experience with data visualization tools (we use Tableau).
• Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams
• Capable of presenting complex data in a clear and concise manner
• Strong attention to detail and the ability to work independently and manage multiple projects simultaneously
• Heavy preference for previous analytics experience in the sales & revenue domain