Head of Revenue Analytics

Description

Our Revenue organization is seeking an experienced data leader to build and manage our expanding Revenue Analytics team. This high-impact role involves hands-on management of a team responsible for enhancing the analytics function within our Go-To-Market (GTM) teams. The ideal candidate will collaborate closely with cross-functional GTM departments and technology teams, providing professional leadership to analysts embedded within these teams. The Director of Analytics will champion data-driven decision-making, ensure the integrity and efficacy of data analytics, and support the company's strategic objectives.

About The Role

• Strategic Collaboration: Work with senior leadership to align analytics initiatives with business objectives and priorities.
• Cross-Functional Partnership: Partner with GTM teams, including Sales, Customer Success, Services, Marketing, and Finance, to understand their analytics needs and deliver actionable insights.
• Group Leadership and Development: Provide leadership, mentorship, and oversee globally analysts embedded within cross-functional GTM departments.
• Guild Responsibility: Build and lead the Analysts Guild, promoting best practices, fostering professional standardization, and creating a cohesive community of practice among analysts.
• Talent Management: Oversee the recruitment, onboarding, and training of new analytics team members.
• Data Quality and Improvement: Monitor and enhance the quality of data and analytics outputs.
• Seamless Integration: Ensure the seamless integration of analytics into GTM strategies and operations.
• Data Visualization: Build compelling dashboards and reports to translate data into meaningful representations that serve as vital decision-making tools.
• Data Advocacy: Champion high-quality data work across the organization, setting standards for exceptional work by sharing examples and best practices.
  
  

• Experience: 8+ years in analytics in SaaS companies, with 5+ years in a leadership role.
• Technical Skills: Excellent SQL skills and proficiency in Tableau / Looker or similar BI systems.
• Communication: Great communication skills with a penchant for data visualization and storytelling.
• Relationship Building: Strong relationship-building skills and the ability to structure frameworks and initiate action plans.