Head of Marketing Analytics

External

Postman · San Francisco, CA

Full-timeOn-site1d ago

CRMData AnalysisDocumentationForecastingLeadershipLooker

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About the role

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.

Responsibilities

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 perio

Head of Marketing Analytics

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