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 Sales organization. The ideal candidate will collaborate closely with cross-functional departments and technology teams, providing professional leadership to analysts embedded within these teams. This role will champion data-driven decision-making, ensure the integrity and efficacy of data analytics, and support the company's strategic objectives.

• Reporting to VP of Revenue Operations, will manage the Core Analytics team, the Business Analytics team and the Leadership Analytics team.
• Strategic Collaboration: Work with CRO senior leadership to align analytics initiatives with business objectives and priorities. 
• Cross-Functional Partnership: Partner with cross-functional team, including CEO office, Customer Success, Services, Marketing, and Finance as part of company’s Analysts Guild, promoting best practices, joint initiatives and standardization. 
• Group Leadership and Development: Provide leadership, mentorship, and oversee globally analysts embedded within CRO Analytics teams
• 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: Conceptualize, create, and maintain compelling dashboards to translate key metrics and experiments into meaningful representations that serve as vital decision-making tools. for tracking key metrics and experiments 
• Data Advocacy: Champion high-quality data work across the organization, setting standards for exceptional work by sharing examples and best practices. 
• Continuous Improvement: Use data to identify cross-company business opportunities to research and recommend solutions and improve key processes.  

• 8+ years of experience in analytics roles within SaaS companies, including 5+ years in a leadership position.
• Excellent SQL skills and proficiency with BI tools (e.g., Tableau, Looker, or similar) – must.
• Experience with Python and data packages (pandas, NumPy, seaborn/Plotly).
• Strong data visualization and storytelling skills, with the ability to present insights clearly to diverse audiences.
• Proven experience in data governance and data quality management.
• Strong stakeholder management and relationship-building abilities, including working with stakeholders at varying levels of data proficiency.
• Ability to design frameworks, drive alignment, and initiate action plans.
• Fast learner who thrives in a high-paced environment.
• Strong attention to detail, team player, and capable of working independently.
• Fluent English.