Senior Marketing Data & Analytics Lead

ZendeskSan Francisco, CA
Hybrid

About The Position

As a pivotal senior individual contributor on Zendesk’s Marketing Strategy & Operations team, the Sr. Marketing Analytics Lead will turn complex marketing data into clear insights, recommendations, and decisions. This role will independently lead high-impact analytics workstreams across performance measurement, funnel analysis, attribution, forecasting, and experimentation while partnering closely with stakeholders across Marketing and the broader go-to-market organization.

Requirements

  • 8+ years of experience in marketing analytics, business intelligence, performance analytics, strategy, or a related discipline.
  • Strong SQL skills and experience working with data warehouses, analytical datasets, and BI/dashboarding tools.
  • Experience with marketing measurement, funnel analysis, attribution, forecasting, experimentation, or channel ROI.
  • Ability to combine data from marketing automation, CRM, web, advertising, and revenue systems.
  • Demonstrated experience presenting insights and recommendations to senior stakeholders.

Nice To Haves

  • Experience in B2B SaaS, subscription, or another multi-channel growth environment preferred.

Responsibilities

  • Lead end-to-end analytics projects, from framing the business question and sourcing the data through analysis, storytelling, recommendation, and follow-through.
  • Build and improve reporting, dashboards, and analytical models that make marketing performance, funnel health, pipeline contribution, and investment efficiency visible.
  • Analyze channel, campaign, audience, lifecycle, web, and funnel performance to identify opportunities and explain drivers of change.
  • Support attribution, forecasting, target setting, pipeline pacing, budget planning, and ROI analysis with sound methods and transparent assumptions.
  • Partner with Marketing Operations, Finance, Sales/Revenue Operations, Data/Engineering, and functional marketing teams to improve data quality and decision processes.
  • Develop reusable metrics, definitions, documentation, and analytical frameworks that increase consistency and self-service across Marketing.
  • Communicate findings in a way that is concise, actionable, and appropriate for the audience — from technical partners to executive leaders.
  • Mentor peers and contribute to a culture of analytical rigor, curiosity, and continuous improvement.

Benefits

  • bonus
  • benefits
  • related incentives
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