Senior Director, Business Analytics, SMB Advertising

About the Role

Key Responsibilities

• Lead the development of the SMB Ads revenue forecast, working closely with Sales, Marketing, and Product to build demand and supply models that accurately predict performance.
• Design and run weekly pipeline meetings-prepare content, surface blockers, and drive accountability across GTM stakeholders.
• Lead acquisition and retention strategy using dashboards, scoring models, churn prediction, and cohort analysis.
• Drive strategic funnel optimization by partnering with GTM and data science teams on account segmentation, advertiser retention, LTV/CAC, and lead scoring.
• Provide enterprise-grade insights to Sales teams to help Account Managers and Specialists better prioritize and manage their books of business.
• Partner with Marketing and Product teams to evaluate channel performance, pricing strategies, campaign analytics, and product adoption metrics.
• Own and evolve self-serve analytics and infrastructure, working with engineering and data teams to automate reporting and democratize data access.
• Define and manage KPIs and treatment plans that drive operational transparency and progress across Sales, Ops, and GTM.

Requirements

• 12+ years of experience in Revenue Strategy, Business Analytics, or Management Consulting, with a strong preference for candidates from high-growth media, advertising, or technology companies.
• Proven ability to build analytics programs from the ground up, integrating data, tooling, and process into a cohesive strategic framework.
• Deep expertise in forecasting, SQL, BI tools (e.g., Tableau, Looker), and statistical modeling frameworks.
• Experience supporting both managed and self-serve sales motions, including performance marketing and retention strategies (ideally for SMBs).
• Executive presence and ability to communicate complex concepts clearly and persuasively.
• Passion for empowering SMBs through scalable advertising solutions—and for bringing a cross-functional team along the journey.

Nice to Have

• Experience in high-growth media, advertising, or technology companies.
• Experience with demand forecasting and revenue modeling.
• Familiarity with account segmentation, LTV/CAC, and lead scoring techniques.

Qualifications

• Educational background or certifications are not explicitly specified, but extensive experience in analytics and revenue strategy is required.

Benefits & Perks

• Medical, dental, and vision insurance.
• 401(k) plan.
• Life insurance coverage and disability benefits.
• Tuition assistance program and PTO.
• Sales incentive compensation.
• Starting salary range: $156,800 - $196,000, depending on location and experience.