Marketing Analytics Lead

Overview

As Marketing Analytics Lead in Data Services, you will drive data-informed decision making across the marketing domain. You’ll build predictive and diagnostic models, and translate insights into strategic actions with cross-functional partners. You’ll craft clear narratives and dashboards to tell the story behind performance trends for executives and teams. This role combines advanced analytics with process improvements to scale marketing impact and KPIs in a fast-paced, collaborative environment.

Responsibilities

• Leverage large-scale marketing data with advanced analytics to uncover actionable insights
• Drive digital, web, demand and pipeline analytics and support forecasting and optimization
• Develop predictive/diagnostic models and measure impact of actions
• Collaborate with Sales, Customer Success and Product to implement data-informed actions
• Ensure data integrity and evolve measurement frameworks and KPIs with data engineering/analytics teams
• Create clear, audience-appropriate narratives explaining marketing performance trends
• Use dashboards and data visualizations to enhance understanding and engagement
• Frame insights in the context of strategic goals and recommended actions
• Partner with SVP of Demand Gen and global Marketing/SDR leaders to align on metrics
• Lead quarterly initiatives to improve Marketing team efficiency, scalability, and performance
• Act as strategic partner to Marketing, Sales, Product, Finance and IT to align initiatives and improve customer experiences

Key requirements

• 5+ years of professional experience
• 3+ years in Marketing Ops/RevOps at a SaaS company
• Familiarity with intent data (6sense) and sales engagement platforms (Outreach, Salesloft, Gong)
• Proficiency in SQL and at least one statistical programming language (Python, R)
• Experience with marketing platforms (Google Analytics, Salesforce, Marketo)

• Strong ability to turn data into decisions for leadership
• Excellent stakeholder engagement and ability to upskill team members
• Comfort in fast-paced, changing environments
• SQL
• Python or R
• 6sense (intent data)

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