Marketing Analytics Manager
- Market p25–p75
- $148k–$176k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +275% of open
- All analytics / data science
- 7,737open
With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company!
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.