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Principal Marketing Analytics Manager

Job in New York, New York County, New York, 10261, USA
Listing for: Greenhouse Software
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: New York

  • Greenhouse is looking for a Principal Marketing Analytics Manager to join our team!
  • Reporting to the VP of Growth Marketing, the Principal Marketing Analytics Manager owns the analytics strategy, reporting architecture, and performance insights for the entire marketing organization. This is a high-visibility, high-impact role that serves as the strategic engine behind our growth
  • In this role, you will do more than manage data; you will manage intelligence. You will deliver the analytics, dashboards, and insights required to optimize performance, but your real value lies in your ability to synthesize that data into a compelling narrative
  • You will be the primary architect of our executive-level operating reviews and QBRs, translating complex data into the “So What” that drives investment decisions at the highest levels of the company
  • Build & Automate:
    Own the technical “Single Source of Truth.” You will move our urgent OKR and KPI reporting from manual spreadsheets to automated, centralized dashboards in Snowflake and Tableau
  • Analyze & Synthesize:
    Conduct deep-dive audits of our marketing spend. You will look across attribution models (WMT vs. First Touch) to uncover hidden opportunities for growth and efficiency
  • Executive Storytelling:
    Lead the preparation for Marketing Operating Reviews and QBRs. You will build, analyze, and synthesize performance data into high-impact presentations for the Executive Leadership Team (ELT)
  • Enable the Team:
    Act as an internal consultant for functional marketing leads. You will define and track 3–5 KPIs per function and build self-service “intelligence bots” (using AI where appropriate) so the team can answer their own data questions in real-time
  • Cross-Functional Catalyst:
    Partner closely with Revenue Analytics, Data Engineering, and Finance to ensure marketing data is a shared, trusted language across the entire organization

A Radical Collaborator – You enjoy the “enablement” side of the house. You find fulfillment in building tools and “bots” that make the rest of the team smarter and faster

A Proactive Partner – You don’t wait for a ticket or a roadmap. You sit in the huddles with Demand Gen, Content, and Brand leads, identifying their pain points and building solutions before they even ask

An AI-First Builder – You have a high “Bias for Action” and use AI to scale your impact. You’d rather use an LLM to help you ship a v1.0 dashboard today than spend a month drafting a framework that never launches

A Master Storyteller – You have the “Executive Presence” to walk into a Q  and not just present numbers, but provide a clear perspective on where we are winning, where we are losing, and where we must pivot

A data devotee – You are obsessed with the narratives hidden in data and excel at translating technical metrics into strategic business stories that resonate with executives

Attribution Expertise:
Deep knowledge of multi-touch attribution (Bizible/SFDC) and the ability to explain the nuances of different models to non-technical audiences

A Bias for Action: A track record of identifying gaps and independently driving projects to completion. You are a “ship-it” person who prioritizes delivery velocity

Executive Presence:
Proven experience prepping and presenting to C‑Suite/VP-level stakeholders. You can defend your data under pressure and turn insights into action

AI Power User:
You use AI tools (Cursor, LLMs, agents) to automate your workflow, write code, and scale your ability to support a large team

8+ years of experience in B2B Marketing Analytics or Revenue Operations, with a master-level understanding of the marketing funnel and enterprise sales cycles

Full‑Stack Technical Literacy:
Expert SQL and Snowflake skills are a must. You should be comfortable manipulating and transforming raw data without a hand‑holder

Applicants must be currently authorized to work in the United States on a full‑time basis

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