Marketing Analytics Manager

Recorded Future•Boston, MA

5d•$92,000 - $137,500•Hybrid

About The Position

Recorded Future is seeking a Marketing Analytics Manager to serve as a strategic analytics partner across marketing. Reporting to the Senior Manager of Marketing Analytics, this role will execute reporting, measurement, and data-foundation work that supports faster, smarter, outcome-driven business decisions. The manager will use data to tell buyer-journey stories for demand generation, field marketing, marketing operations, and the broader go-to-market organization, and will contribute to the company's growing investment in AI, automation, and modern data tools. This role is suited to a data-driven, business-minded analyst working at the intersection of marketing strategy, measurement, and emerging data and AI capabilities in a B2B SaaS environment. The position is required to work from Recorded Future's Boston, Massachusetts office at least three days per week. The role reports to the Senior Manager of Marketing Analytics. The stated base salary range is $92,000–$137,500. The position may also be eligible for incentive compensation and equity, as well as medical, dental, vision, and life insurance and a 401(k).

Requirements

At least 3 years of experience in marketing analytics, marketing or revenue operations, or a related analytical field; B2B SaaS experience is ideal.
Strong proficiency building dashboards and reports in HockeyStack, Domo, Tableau, Sigma, or similar BI and visualization platforms.
Hands-on experience with CRM data, particularly Salesforce, and marketing automation platforms such as Marketo or HubSpot.
Hands-on experience applying AI/LLM tools to analytics or operations workflows.
Experience building automations or integrations through APIs; familiarity with emerging standards such as MCP is a plus.
Working knowledge of SQL and/or Python for data analysis and cross-system data work.
Self-driven and intellectually curious, with initiative to investigate problems and learn the business and domain.
Solid understanding of the marketing funnel, lead lifecycle, and attribution concepts, including multi-touch, first-touch, and last-touch attribution.
Curiosity and enthusiasm for AI, automation, and modern data tooling, with eagerness to help build in an emerging area.
Strong analytical and problem-solving skills, including the ability to turn data into clear, actionable insights and business recommendations.
Excellent communication skills and ability to convey findings to non-technical stakeholders.

Nice To Haves

Experience with data warehousing, such as Snowflake, and with data-quality, ETL, or data-pipeline processes.
Exposure to customer journey analytics, such as Adobe CJA.
Marketo or Salesforce certification.
Previous experience at a high-growth enterprise SaaS company.

Responsibilities

Partner with the marketing organization to translate data into insights that inform planning, investment, and campaign decisions and drive measurable business outcomes.
Develop, maintain, and refresh marketing dashboards and reports using 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.
Support reporting needs across business levels, tailoring insights for executive leaders and individual contributors.
Deliver short-turnaround ad hoc analyses, segment breakdowns, and channel and campaign deep dives.
Validate reporting and reconcile metrics across systems so stakeholders can trust the data.
Troubleshoot and resolve integration issues and data discrepancies.
Help build the marketing data warehouse in partnership with the centralized data infrastructure team.
Help maintain a clean, consistent, well-governed marketing data foundation.
Support the maintenance and evolution of multi-touch attribution models and keep reporting objects current as campaigns and channels change.
Partner with field marketing, revenue operations, and Sales/BDR teams on lead-to-opportunity reporting and analysis, including accurate tracking of marketing-sourced and marketing-influenced pipeline.
Turn attribution and pipeline data into actionable insights for ROI-related planning decisions.
Build and extend automation and data-access workflows, including API and MCP connections, for the Marketing Analytics & Operations team.
Explore and apply AI and data capabilities to increase analytics throughput, reduce manual work, and generate new insights.
Develop reusable reporting templates, lightweight data products, and cross-system data workflows that scale the team's impact.