Principal, Marketing Analytics
RemoteAbout Remote
With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role.
We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.
What this job can offer you
This is a transformative time to join Remote and make a personal difference in the global employment space as Principal Analyst, Marketing Analytics. As the highest-level individual contributor within our Revenue Operations team, you won't just support our strategy—you will shape it.
We are looking for a visionary, highly autonomous expert to serve as the primary strategic partner to the Director of Planning and Analytics, the VP of Growth Marketing, and the broader executive leadership team. In this P5 role, you will own the long-term vision for our marketing data ecosystem, moving beyond project execution to architect frameworks that define our global marketing strategy. From pioneering next-generation predictive attribution models to unlocking the macroeconomic impact of brand equity, your governance will dictate Remote’s global investment strategy.
What you bring
- Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
- Architect-Level Attribution: Mastery in designing, scaling, and defending complex attribution frameworks (Multi-Touch, Media Mix Modeling, and Unified Measurement) across complex, non-linear enterprise buyer journeys.
- Macro-Funnel Vision: Deep expertise in quantifying abstract, non-paid focus areas; a proven history of designing measurement frameworks for global brand health, organic ecosystems, Share of Voice (SoV), and long-tail market expansion.
- Advanced Technical Mastery: Expert-level proficiency across the modern data stack. You are comfortable writing production-grade code, architecting data models in dbt, optimizing complex Snowflake environments, and leveraging AI/auto
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