Marketing Analytics Lead

Position Overview

• Location Type: Not Specified
• Employment Type: Full-Time
• Salary: $165K - $190K
• Job Type: Individual Contributor / Leadership
• Brief Description: Seeking a Marketing Analytics Lead to be the primary analytics partner for the Marketing organization within the Revenue Operations team. This role will focus on understanding, measuring, and optimizing the marketing funnel, driving data-driven go-to-market strategy, and improving marketing efficiency. The ideal candidate is analytical, strategic, and experienced in working cross-functionally with Marketing, Sales, Finance, and Engineering. The role is approximately 60% performance analytics and insights, 30% process and operational improvements, and 10% enabling marketing systems and tooling.

Requirements

• Deep experience in marketing analytics
• Proven experience in process optimization
• Data-driven go-to-market strategy experience
• Strong cross-functional collaboration skills (Marketing, Sales, Finance, Engineering)
• Analytical and strategic thinking skills
• Experience working with executive-level stakeholders

Responsibilities

• Understand Functional Performance & Strategy: Develop and evolve the marketing analytics framework, providing clear visibility into performance across the funnel (awareness to pipeline to revenue).
• Design & Maintain Reporting: Create and maintain dashboards, attribution models, and reporting that inform marketing investment decisions and strategic planning.
• Partner with Marketing Leadership: Analyze campaign and channel performance, optimize budget allocation, and forecast pipeline contribution.
• Conduct Deep Analysis: Perform cohort and funnel analysis to uncover opportunities for improvement across audience segments and lifecycle stages.
• Collaborate on Predictive Models: Work with Data teams on predictive models for lead quality, pipeline conversion, and customer value.
• Present Executive Insights: Deliver executive-level insights connecting marketing activity to business outcomes.
• Drive Operational Excellence: Partner with Growth, Enablement, and Sales to optimize the lead lifecycle, ensuring alignment on definitions, SLAs, handoffs, and conversion tracking.
• Monitor Marketing Efficiency: Define and monitor marketing efficiency metrics (e.g., MQL-to-SQL conversion, velocity through funnel stages, pipeline contribution by source).
• Identify Operational Bottlenecks: Identify and address operational bottlenecks related to campaign execution, lead routing, and reporting coverage.
• Champion Best Practices: Promote best practices in process documentation, GTM alignment, and performance optimization.
• Shape the Analytics Ecosystem: Collaborate with IT, Data, and Engineering to ensure tools and systems support accurate, scalable, and self-serve reporting.
• Maintain Data Governance: Ensure trust in marketing data through governance, clear definitions, and source-of-truth reporting infrastructure.
• Provide Tooling Input: Provide input on MarTech tooling, data instrumentation, and performance tagging strategies.

Application Instructions

Not Specified

Company Information

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