Recorded Future is seeking a Marketing Analytics Manager. As a Marketing Analytics Manager, you will be a strategic partner across marketing decision-making, reporting to the Senior Manager of Marketing Analytics to execute on the reporting, measurement, and data foundation that helps the business make faster, smarter, outcome-driven decisions. You will articulate compelling buyer journey stories through data for demand generation, field marketing, marketing operations, and the broader go-to-market organization. Beyond day-to-day analytics and ad hoc analysis, you'll help drive our growing investment in AI, automation, and modern data tooling, bringing curiosity and a builder's mindset to how we scale the analytics function. This role is ideal for a data-driven, business-minded analyst who wants to sit at the intersection of marketing strategy, measurement, and emerging data and AI capability in a B2B SaaS environment.

Note: This role is required to work from the Recorded Future office in Boston, MA at least 3 days per week.
What You'll Do:
Marketing Analytics & Strategic Insights:

• Serve as a strategic analytics partner across the marketing organization, translating data into insights that shape planning, investment, and campaign decisions and drive measurable business outcomes.
• Develop, maintain, and refresh marketing dashboards and reports across HockeyStack, Salesforce, Domo, and Adobe CJA to track KPIs, campaign effectiveness, and ROI.
• Report on top of funnel marketing performance, lead acquisition, conversion rates and velocity, and opportunity progression, to give a clear view of marketing's impact.
• Support reporting needs across all levels of the business, from executive leadership to individual executors, tailoring insight to each audience.
• Deliver ad hoc analysis, segment breakdowns, and channel/campaign deep dives that answer strategic questions on short turnaround.

Marketing Data Quality & Governance:

• Validate reporting and ensure the numbers reconcile across systems, so stakeholders can trust the metrics they act on.
• Troubleshoot and resolve integration and data discrepancies.
• Help build out the marketing data warehouse, partnering with the centralized data infrastructure team to establish a scalable, reliable data foundation.
• Help maintain the clean, consistent, well-governed data foundation that enables faster reporting, trusted metrics, and confident decision-making across marketing.

Attribution & Pipeline Measurement:

• Support the maintenance and evolution of multi-touch attribution models, keeping reporting objects current as campaigns and channels change.
• Partner with field marketing, revenue operations, and the Sales/BDR organizations on lead-to-opportunity reporting and analysis, ensuring accurate tracking of marketing-sourced and influenced pipeline.
• Translate attribution and pipeline data into actionable insights that help stakeholders make informed ROI decisions when planning activities.

Automation, Tooling & AI Innovation:

• Help drive our growing investment in AI and automation for marketing analytics, we're actively expanding into this space and want someone with the curiosity and passion to help shape it.
• Build and extend automation and data-access workflows, including API and MCP connections, that broaden analytics and AI tooling access for the Marketing Analytics & Operations team.
• Explore and apply emerging AI and data capabilities to increase analytics throughput, reduce manual work, and unlock new kinds of insight.
• Develop reusable reporting templates, lightweight data products, and cross-system data workflows that scale the team's impact.

What You'll Bring:

• 3+ years of experience in marketing analytics, marketing/revenue operations, or a related analytical field, ideally in a B2B SaaS environment.
• Strong proficiency building dashboards and reports in tools such as HockeyStack, Domo, Tableau, or Sigma, or similar BI/visualization platforms.
• Hands-on experience with CRM data (particularly Salesforce) and marketing automation platforms (Marketo or HubSpot).
• Hands-on experience applying AI/LLM tooling to analytics or operations workflows.
• Experience building automations or integrations via APIs, with familiarity with emerging standards like MCP a plus.
• Working knowledge of SQL and/or Python for data analysis and cross-system data work.
• Self-driven and intellectually curious, with the initiative to dig into problems without waiting to be told how, you can pick up the business and domain along the way.
• Solid understanding of the marketing funnel, lead lifecycle, and attribution concepts (multi-touch, first-touch, last-touch).
• Curiosity and passion for AI, automation, and modern data tooling, with eagerness to help build in an emerging space.
• Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable insights and business recommendations.
• Excellent communication skills, with the ability to convey findings to non-technical stakeholders.

Preferred Qualifications:

• Experience with data warehousing (e.g., Snowflake) and data-quality, ETL, or data-pipeline processes.
• Exposure to customer journey analytics (e.g., Adobe CJA).
• Certification in Marketo or Salesforce.
• Previous experience in a high-growth, enterprise SaaS company.

The base salary range for this full-time position is $92,000-$137,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

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