Principal, Marketing Analytics

Job Description

Responsibilities 

Strategic Vision & Predictive Modeling

• • Next-Gen Attribution & MMM: Own and evolve the architectural vision for Remote’s attribution logic. Merge multi-touch attribution (MTA) with Media Mix Modeling (MMM) to build a unified view of both performance marketing and organic Top-of-the-Funnel (TOFU) streams.
  • Predictive LTV & Budget Optimization: Architect and maintain advanced Customer Lifetime Value (LTV) and predictive churn models. Direct how these high-quality predictive signals are fed back into ad platforms and algorithmic bidding engines to maximize efficiency.
  • Executive Planning & Capital Allocation: Partner directly with finance and marketing leadership to drive annual and quarterly planning. Own the macroeconomic forecasting models that dictate global budget allocation and ROI expectations.

Global Frameworks & Data Governance

• • Brand & Organic Quantification: Establish the global standard for measuring non-paid marketing initiatives. Build robust, defensible frameworks for Share of Voice, brand sentiment, and organic compounding to justify long-term brand investments.
  • Macro-Funnel Optimization: Analyze the end-to-end B2B funnel—from dark social and initial awareness to closed-won enterprise revenue—identifying systemic friction points and multi-million dollar white-space opportunities.
  • Data Strategy & Guardianship: Act as the ultimate authority on marketing data integrity. Partner with Data Engineering and RevOps to design the upstream data infrastructure, ensuring information flowing through HubSpot, Salesforce, and Snowflake remains an unassailable “single source of truth.”

Leadership & Innovation

• • Organizational Multiplier & Mentorship: While this role has no initial direct reports, you will serve as the technical and strategic lead for the analytics org. You will mentor senior analysts, elevate the team’s technical bar, and foster a culture of analytical excellence.
  • AI & Automation Pioneering: Standardize the deployment of AI, machine learning, and advanced automation within the marketing analytics stack to accelerate insight generation and eliminate manual reporting overhead.

Practicals

• You’ll report to: Senior manager, Revenue Operations
• Team: Revenue Operations, Revenue Planning and Analytics
• Team size: Individual Contributor role with massive cross-functional influence (No direct reports)
• Location: For this position, we welcome everyone to apply, but we will prioritize applications from locations that align with our current regional team diversification strategies.
• Start date: As soon as possible

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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