Responsibilities

• Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights.
• Drive digital, web, demand and pipeline analytics.
• Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies.
• Partner with, Sales, Customer Success and Product teams to implement data-informed actions and measure impact.
• Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs.
• Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind marketing performance trends.
• Translate technical data findings into business-relevant insights that resonate with executive, marketing, and cross-functional stakeholders.
• Use visual storytelling techniques, including dashboards and data visualizations, to enhance understanding and engagement.
• Frame insights in the context of strategic goals, highlighting opportunities, risks, and recommendations with clarity and influence.
• Stakeholder/Leadership Engagement: Partner with the SVP of Demand Generation and global Marketing/SDR leaders to ensure the Marketing department focuses on the right metrics and improves KPIs.

Requirements

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