Principal Data Analyst

Our mission at Hub Spot is to help millions of organizations grow better. As Principal, Marketing Measurement, you'll lead the evolution of how Hub Spot measures and optimizes its marketing measurement and investments — building the measurement infrastructure and decision-making framework that enables confident capital allocation decisions across organic, paid, owned, and earned channels.

Hub Spot operates a significant and growing marketing presence across organic channels, paid media, a robust content and media network, and earned and owned activations. As we scale through brand-led, multi-channel demand creation, we're building the capability to understand what drives incremental growth across all marketing levers and translate those insights into smarter investment decisions. This role leads that work, working closely with cross functional teams across Marketing, Finance, Data Science, Engineering, and Product — combining marketing mix modeling, incrementality testing, multi-touch and modernized attribution, and predictive forecasting into a unified measurement capability that serves Marketing and Finance alike.

This is a high-visibility role for someone who combines deep measurement expertise with the strategic instincts to connect analytical rigor to the decisions that matter most.

• Deep understanding of full funnel Marketing strategy and techniques.
• Own and evolve the marketing measurement framework across organic, paid, owned, Brand, LLM/AEO, media/creators, and earned channels — establishing a single, consistent view of how marketing investment drives revenue.
• Own and develop how marketing tracks full funnel attribution across the buyer journey across all channels and touchpoints.
• Modernize attribution methodology — moving beyond last-click toward view-based, multi-touch, and buying-group-aware models that capture the full influence of marketing activity on the path to revenue.
• Develop executive-ready reporting and performance narratives that connect marketing investment to revenue outcomes, enabling capital allocation decisions with confidence.

• Build and operate Marketing Mix Models that quantify the marginal ROI of investment across channels — enabling evidence-based scenario planning and capital allocation between paid, owned, and earned.
• Establish and scale an incrementality testing program — designing holdout methodology, running causal experiments, and translating results into investment recommendations.
• Partner with Marketing and Finance leadership to move budget conversations from channel-by-channel negotiation toward joint, evidence-based investment planning.

• Build and operationalize predictive LTV models that connect upstream marketing signals to downstream revenue outcomes — enabling spend decisions grounded in expected long‑term customer value.
• Develop multi‑horizon revenue forecasting capabilities that translate real‑time marketing indicators into expected ARR outcomes, giving Marketing and Finance a continuously updated view of performance.
• Drive the build vs. buy roadmap for predictive tooling — evaluating vendor solutions, managing external partnerships, and defining where proprietary models create lasting advantage.

• Lead and direct data science execution toward measurement priorities — maintaining the technical depth to design experiments, validate methodology, and hold quality bar on outputs.
• Advance AI and machine learning applications across measurement, attribution, targeting, and forecasting to improve the speed and accuracy of marketing decision‑making.

• 10+ years in marketing…