Head of Marketing Analytics

The Opportunity We are seeking a strategic and hands-on Senior Marketing Analytics Leader to build and lead a high-impact analytics function within Revenue Marketing. This role will be responsible for transforming marketing into a fully data-driven revenue engine — providing clarity on performance, pipeline contribution, ROI, and growth opportunities across integrated campaigns, ABM, lifecycle, and holistic search (SEO + SEM). The ideal candidate combines strategic thinking, strong technical depth, and business acumen. They must be able to connect marketing activity to revenue outcomes, influence executive decision-making, and build scalable reporting frameworks that drive action — not just dashboards. This leader will build and manage a small but high-leverage team (2 direct reports initially) and partner closely with Campaigns, ABM, Digital, Search, Events, Sales, and Finance. What You’ll Do Revenue Attribution & Measurement Strategy • Design and evolve marketing attribution models aligned to pipeline and revenue impact. • Establish a unified measurement framework across paid, organic, ABM, events, and lifecycle. • Quantify marketing’s contribution to sourced and influenced pipeline. • Partner with Sales Ops and RevOps to ensure alignment across the funnel. Success means leadership can clearly answer: How is marketing driving revenue, and where should we invest next? Campaign & Channel Performance Analytics • Define standardized KPIs across integrated campaigns and channels. • Develop reporting frameworks that go beyond MQLs to pipeline and revenue efficiency. • Analyze channel mix performance and recommend budget optimization. • Support holistic search strategy by evaluating blended paid + organic performance. Ensure that campaign decisions are informed by ROI, not vanity metrics. ABM Performance & Account Intelligence Given ABM is a focused revenue marketing approach: • Develop account-level performance dashboards. • Measure engagement depth, buying group influence, and deal acceleration impact. • Identify patterns across high-performing accounts. • Partner with ABM and Events teams to optimize field and event ROI. Forecasting & Strategic Planning Support • Build predictive models for pipeline generation and conversion. • Support annual and quarterly planning with data-driven projections. • Model spend scenarios and CAC/LTV tradeoffs. • Identify leading indicators of pipeline performance. Data Infrastructure & Tooling • Partner with RevOps to ensure clean, scalable data architecture. • Improve tracking integrity across campaigns and channels. • Ensure marketing automation and CRM data consistency. • Build dashboards that are actionable and trusted by leadership. Team Leadership & Capability Building • Hire and manage 2 direct reports (e.g., Marketing Analyst). • Develop analytical rigor across the broader marketing organization. • Establish documentation, processes, and governance standards. • Elevate data literacy across campaigns, ABM, digital, and search teams. What Success Looks Like • Clear visibility into marketing’s contribution to revenue. • Leadership uses analytics to drive budget allocation and prioritization. • Campaigns are optimized based on data, not intuition. • Search (SEO + SEM) performance is evaluated holistically. • ABM impact is measurable at the account and pipeline level. • Marketing planning is grounded in predictive modeling. About You • 10+ years in marketing analytics, revenue analytics, or growth analytics in B2B environments. • Experience supporting demand generation, ABM, and paid media. • Deep expertise in attribution modeling and funnel analysis. • Experience managing analytics or BI teams. • Strong experience with CRM and marketing automation platforms. • Familiarity with SEO/SEM performance frameworks and multi-channel measurement. Technical Capabilities • Advanced SQL and data analysis skills. • Experience with BI tools (e.g., Tableau, Looker, Power BI, etc.). • Strong understanding of attribution models (multi-touch, W-shaped, data-driven, etc.). • Experience building forecasting and predictive models. • Strong understanding of CAC, LTV, payback period, and pipeline velocity metrics. Leadership Competencies • Revenue-first mindset. • Ability to translate complex analysis into executive-ready insights. • Strong cross-functional partnership skills. • Strategic thinker with operational rigor. • Comfortable operating at both hands-on and executive levels. The reasonably estimated base salary for this role ranges from $270,000 to $300,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.