VP of Revenue Analytics

Role Description The VP of Revenue Analytics is a full-time remote role responsible for leading the design, execution, and optimization of revenue analytics across the organization. This role oversees the development of data models, dashboards, and reporting frameworks that provide clear visibility into revenue performance, customer lifetime value, and campaign effectiveness. The VP will collaborate with leadership, finance, marketing, and operations teams to identify growth opportunities, forecast revenue, and guide strategic decision-making based on data-driven insights. Day-to-day responsibilities include managing analytics roadmaps, mentoring analytics team members, ensuring data quality and governance, and translating complex findings into actionable recommendations for stakeholders. The role also involves evaluating tools and technologies for analytics, establishing best practices, and continuously improving measurement strategies to support sustainable, organic growth.
Qualifications
Candidates should possess strong Analytical Skills with the ability to interpret complex data, identify trends, and propose clear, actionable insights.
Candidates should possess proficiency in Data Analytics and Analytics, including experience with BI tools, data visualization platforms, and KPI development.
Candidates should possess a solid foundation in Statistics to design robust analyses, validate hypotheses, and support accurate forecasting.
Candidates should possess Finance-related skills, including revenue modeling, budgeting, and understanding of profitability and unit economics.
Advanced experience in revenue analytics, business intelligence, or data science within marketing, digital, or growth-focused environments.
Proven leadership experience managing analytics or data teams and collaborating with cross-functional stakeholders at the executive level.
Strong communication skills, with the ability to present complex analytical findings in a clear, concise, and accessible manner.
Bachelor’s or Master’s degree in a quantitative field such as Economics, Statistics, Mathematics, Data Science, Finance, or a related discipline.
Experience with data warehousing, SQL, and modern analytics stacks (e.g., cloud data platforms, reporting tools) is highly beneficial.
Comfort working in a remote, fast-paced environment with a focus on organic growth and digital marketing performance.

Skills
SQL, Data Analysis, Digital Marketing

Experience
10+ yrs

Work arrangement
Yes