Senior Marketing Analytics Manager

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,800 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company!

Senior Marketing Analytics Manager

About Recorded Future:
Recorded Future is the leader in intelligence-driven cybersecurity, helping organizations stay ahead of threats. Our mission is to provide unparalleled insights into the digital threat landscape, empowering enterprises to secure their operations with confidence. Join us to help shape the future of cybersecurity in a fast-paced, high-growth environment.

About the Role:
As a Senior Marketing Analytics Manager, you will play a crucial role in optimizing our marketing strategies, ensuring data accuracy, and driving performance insights. This role is an individual contributor position focused on building, analyzing, and reporting on marketing data to influence decision-making and enhance the effectiveness of demand generation, attribution, and pipeline growth strategies. You will also be responsible for establishing and maintaining data warehouse solutions to ensure seamless data integration and reporting. Additionally, you will lead the development of marketing forecasting models and predictive modeling for pipeline generation, leveraging data to drive business outcomes. This role requires a data-driven mindset and expertise in B2B SaaS marketing analytics, attribution modeling, marketing automation tools, and data warehousing.

Key Responsibilities

Marketing Analytics & Performance Tracking:

• Develop and maintain marketing dashboards and reports to track key performance indicators (KPIs), campaign effectiveness, and ROI.
• Analyze customer acquisition and engagement metrics to optimize marketing efforts across channels.
• Partner with demand generation, product marketing, and sales teams to measure marketing influence on pipeline and revenue.

Attribution Modeling & Measurement:

• Implement and maintain attribution models, including multi-touch attribution, first-touch, and last-touch attribution.
• Collaborate with revenue operations and sales to ensure accurate tracking of marketing-sourced and influenced revenue.
• Provide actionable insights to optimize marketing spend allocation and channel effectiveness.

Marketing Forecasting & Predictive Modeling:

• Develop and implement forecasting models to predict marketing-sourced pipeline and revenue contribution.
• Leverage predictive analytics to refine targeting, lead qualification, and campaign performance optimization.
• Analyze historical data trends to improve demand planning and marketing investment decisions.
• Build and automate marketing performance projections using Excel, Google Sheets, and BI tools.

Marketing Data Strategy & Governance:

• Ensure data integrity and consistency across marketing automation (e.g., Marketo, HubSpot) and CRM platforms (e.g., Salesforce).
• Oversee data hygiene processes, including lead deduplication, enrichment, and segmentation.
• Establish and maintain marketing data warehouse solutions to centralize and streamline marketing performance data.
• Collaborate with IT and data teams to enhance marketing data infrastructure and reporting capabilities.

MarTech & Automation Optimization:

• Work closely with marketing operations to enhance automation workflows, lead scoring, and audience segmentation.
• Identify and implement new technologies to improve marketing measurement and analytics capabilities.
• Provide training and enablement for marketing stakeholders on data best practices and insights interpretation.

Forecasting & Strategic Planning:

• Develop predictive models for marketing pipeline contribution and campaign performance.
• Provide data-driven recommendations to optimize marketing investment and drive business growth.
• Support annual and quarterly planning processes with data-driven insights.

What You'll Bring:

Minimum Requirements:

• 5+ years of experience in marketing analytics, marketing operations, or a related analytical field in a B2B SaaS environment.
• Expertise in marketing forecasting models and predictive analytics for pipeline generation.
• Strong proficiency in marketing attribution models and tools (e.g., HockeyStack, Google Analytics, or custom-built attribution frameworks).
• Strong proficiency in marketing automation platforms such as Marketo and HubSpot.