Marketing Analytics Lead

About the Role

Key Responsibilities

• 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.
• 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.
• 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.
• Spearhead quarterly initiatives to enhance the Marketing team's efficiency, scalability, and performance, including pipeline and channel analysis and supporting the design of the SDR Book of Business.
• Act as a strategic partner to Marketing, Sales, Product, Finance, and IT teams to align initiatives and streamline customer experiences.

Requirements

• 5+ Years of professional experience.
• 3+ Years of experience in Marketing Operations or Revenue Operations at a SaaS company.
• 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 such as Google Analytics, Salesforce, Marketo.
• Strong ability to bring data to life for decision makers.
• Skilled in interfacing with teams, enabling data literacy, and upskilling team members.
• Ability to work in a fast-paced and ever-changing environment.
• Problem-solving mindset and ability to identify work that supports company objectives.

Nice to Have

• Experience with predictive modeling and data science techniques.
• Knowledge of marketing and sales technology stacks.
• Experience with cross-functional collaboration in a global organization.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience.

Benefits & Perks

• Not explicitly specified in the description.